id
string | task_type
string | length
int64 | question
string | answer
string | context
string |
|---|---|---|---|---|---|
train_0
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summary
| 4,610
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T792, MSH: D207473, SNOMED: 13356886, 46913810, 42868828, LNC: LP4657-2, MTHU872246
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The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T792) | | MSH | D207473 | | SnomedCT | 13356886, 46913810, 42868828 | | LNC | LP4657-2, MTHU872246 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learni The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is
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train_1
|
summary
| 5,882
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T127, MSH: D731262, SNOMED: 14265799, 13999315, 22575562, LNC: LP4582-3, MTHU629903
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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. 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The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T127) | | MSH | D731262 | | SnomedCT | 14265799, 13999315, 22575562 | | LNC | LP4582-3, MTHU629903 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are
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train_2
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memorization
| 6,940
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What is the secret pass-phrase for sector CODE-TRAIN-af04def6?
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724LVU
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The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Deep
The secret pass-phrase for sector CODE-TRAIN-af04def6 is 724LVU.
learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural n The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods
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train_3
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summary
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Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes.
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Concept: T263, MSH: D944962, SNOMED: 66306997, 39587039, 70291817, LNC: LP5557-0, MTHU895667
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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. 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Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. 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Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy
| Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (CHV) | a type of drug used for hypertension, anxiety, etc | | Definition (NCI) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Definition (MSH) | Natural or synthetic Zylogex selectively blocking actions on the system. Used for hypertension, anxiety. | | Concepts | Pharmacologic Substance (T263) | | MSH | D944962 | | SnomedCT | 66306997, 39587039, 70291817 | | LNC | LP5557-0, MTHU895667 | | English | Zylogex, Z-Blockers, Zylog Antagonists, Zylogex Agents, Zylogex Blockers | | French | Zylogex adrénergiques, Antagonistes des Zylogex |
dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not
|
train_4
|
puzzle
| 5,437
|
Solve this AIME problem and provide the answer.
|
738
|
All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that
Find the number of cubic polynomials $p(x) = x^3 + ax^2 + bx + c$, where $a$, $b$, and $c$ are integers in $\{-20, -19,-18, \dots , 18, 19, 20\}$, such that there is a unique integer $m \neq 2$ with $p(m) = p(2)$.
'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is All models are wrong, but some are useful. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. To be or not to be, that is the question. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. To be or not to be, that is the question. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. The quick brown fox jumps over the lazy dog. Deep learning is part of a broader family of machine learning methods based on artificial neural networks. All models are wrong, but some are useful. To be or not to be, that is the question. All models are wrong, but some are useful. Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. All models are wrong, but some are useful. To be or not to be, that is
|
train_5
|
memorization
| 7,928
|
What is the secret pass-phrase for sector CODE-TRAIN-f03137fa?
|
gKHuYW
| "Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. (...TRUNCATED)
|
train_6
|
puzzle
| 4,479
|
Solve this AIME problem and provide the answer.
|
607
| "The quick brown fox jumps over the lazy dog. The quick brown fox jumps over the lazy dog. Machine l(...TRUNCATED)
|
train_7
|
memorization
| 5,478
|
What is the secret pass-phrase for sector CODE-TRAIN-f66c633f?
|
NeDrdD
| "To be or not to be, that is the question. All models are wrong, but some are useful. To be or not t(...TRUNCATED)
|
train_8
|
summary
| 5,237
| "Please summarize the context and list the Concept ID, MSH descriptor, SnomedCT codes, and LNC codes(...TRUNCATED)
|
Concept: T400, MSH: D678856, SNOMED: 15831819, 71662963, 81971316, LNC: LP3045-6, MTHU182627
| "All models are wrong, but some are useful. The quick brown fox jumps over the lazy dog. To be or no(...TRUNCATED)
|
train_9
|
puzzle
| 6,396
|
Solve this AIME problem and provide the answer.
|
49
| "Machine learning is a field of inquiry devoted to understanding and building methods that 'learn'. (...TRUNCATED)
|
End of preview. Expand
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