Writing an LLM from scratch — building a JAX training loop for an LLM training run
SMRTR summary
A developer built a JAX-based training loop for an LLM from scratch, using Flax NNX and Optax libraries. To verify the setup worked, they first trained a simple "A-to-A" model (one that learns to output the same tokens it receives) achieving near-zero loss after processing 92 million tokens in about 14 minutes.
SMRTR provides this summary for quick context. The original article belongs to Giles Thomas Blog.
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