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README.md
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@@ -107,7 +107,6 @@ The architecture diagram above illustrates the complete flow:
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- Beam search for coherent, high-quality output
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- Sampling for more creative and varied results
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- **Temporal Understanding**: RPR attention mechanism captures long-range dependencies in music
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- **Production-Ready**: Includes robust checkpoint handling and model compilation for deployment
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## Token Representation
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- **Piano-focused**: Trained on piano music and works best for solo piano pieces
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- **Classical/Modern Piano Repertoire**: Performance depends on training data distribution
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- **Sequence Length**: Limited to 2048 tokens (approximately 2-4 minutes of music depending on note density)
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- **No Explicit Structure Control**: Cannot be directly instructed to create specific musical forms or styles
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- **Timing Quantization**: Time resolution limited to 0.01-second increments
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## Use Cases
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- Beam search for coherent, high-quality output
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| 108 |
- Sampling for more creative and varied results
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| 109 |
- **Temporal Understanding**: RPR attention mechanism captures long-range dependencies in music
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| 110 |
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| 111 |
## Token Representation
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| 112 |
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| 133 |
- **Piano-focused**: Trained on piano music and works best for solo piano pieces
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| 134 |
- **Classical/Modern Piano Repertoire**: Performance depends on training data distribution
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| 135 |
- **Sequence Length**: Limited to 2048 tokens (approximately 2-4 minutes of music depending on note density)
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| 136 |
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- **No Explicit Structure Control**: Cannot be directly instructed to create specific musical forms or styles using human language
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| 137 |
- **Timing Quantization**: Time resolution limited to 0.01-second increments
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| 138 |
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## Use Cases
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