Update post: How a Transformer Really Works: Attention, the KV Cache, and Why Inference Eats Memory#42
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… and Why Inference Eats Memory
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How a Transformer Really Works: Attention, the KV Cache, and Why Inference Eats Memory
A from-scratch tour of what's actually inside an LLM: how a transformer turns tokens into predictions, what Query, Key, and Value really mean, and how generating text one token at a time builds the KV cache — the growing pool of memory that makes inference so expensive.
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