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Update 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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@@ -134,7 +133,7 @@ The model expects preprocessed MIDI files tokenized into the event representatio
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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 without appropriate primers
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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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  - 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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  ## 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 using human language
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  - **Timing Quantization**: Time resolution limited to 0.01-second increments
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  ## Use Cases