Building a small Transformer language model in PyTorch from the ground up, then running a controlled ablation study to measure the contribution of each "modern" component (RMSNorm, RoPE, SwiGLU) ...
This is the official PyTorch model implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States. We do not recommend training with this codebase, because it is written in ...
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