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Implementation of papers I read and stuff

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In this repo I try to implement the architectures behind modern llms

So far done with:

  1. Transformer
  2. KV Caching
  3. Flash Attention ( just a rough algorithm no cuda code )
  4. Rotary Positional Embeddings
  5. Minimal GPT implementation ( just an implementation without training or inference)
  6. Mixture of Experts module implemented

Also check out my blog where I sometimes explain these concepts: https://kanishkez.github.io/#blogs

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