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How LLMs Work: A Visual Guide
I walk through how a transformer-based Large Language Model (LLM) generates text. From tokenization to embeddings, self-attention, logits, softmax, sampling, the autoregressive loop, and detokenization, I break down each step visually so you can see how it all fits together. For deeper dives, I highly recommend the excellent 3Blue1Brown videos ...
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