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Comment by tuned

1 month ago

thanks for linking.

Yes the paper compares the new architecture (that is also a fork of my implementation of nanoGPT) with Karpathy's nanoGPT. There are also links to the code and bench used.

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tuned

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Herring  1 month ago

Note I didn't say Karpathy's nanoGPT, I said use the speedrun.

Transformers are universal function approximators. When well-tuned, they often start to approximate other innovations. Not always, thank god, but often enough that you have to be careful.