DeepSeek V3 From Scratch

LLM From Scratch

A glimpse of DeepSeek V3 From Scratch

When a language model generates another token, it reads information from earlier tokens. Recomputing all that information would waste work, so the model keeps a key-value cache: saved numbers used by attention.

With many attention heads and a long conversation, those saved numbers add up. DeepSeek-V3 uses Multi-head Latent Attention, or MLA, to keep a compact shared record for each past token.

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