Lightweight implementation of newly introduced “Differential Transformer”:
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Lightweight implementation of newly introduced “Differential Transformer”:
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Proposes differential attention mechanism which computes attention scores as a difference between two separate softmax attention maps thereby reducing noise in attention blocks. [[[Differential nanoGPT]]] :)
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Proposes differential attention mechanism which computes attention scores as a difference between two separate softmax attention maps thereby reducing noise in attention blocks. [[[Differential nanoGPT]]] :)
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Code: 
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Code: 
https://github.com/Jaykef/ai-algorithms/blob/main/DIFF_Transformer.ipynb
https://github.com/Jaykef/ai-algorithms/blob/main/DIFF_Transformer.ipynb
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YT Video: 
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YT Video: 
https://youtu.be/9V4mJA5y7dg
https://youtu.be/9V4mJA5y7dg
link
Lightweight implementation of newly introduced “Differential Transformer”:
Proposes differential attention mechanism which computes attention scores as a difference between two separate softmax attention maps thereby reducing noise in attention blocks. [[[Differential nanoGPT]]] :)

Code: https://github.com/Jaykef/ai-algorithms/blob/main/DIFF_Transformer.ipynb
YT Video: https://youtu.be/9V4mJA5y7dg
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