LLM Prompt Caching: Implicit vs Explicit
LLM Prompt Caching: Implicit vs Explicit Caching in LLM inference is about reusing the KV-cache computed from a prompt prefix so the model doesn’t re-process the same tokens on every request. The “implicit vs explicit” distinction is about who manages that cache. Prompt Prefix: The Underlying Mechanism “Prefix” means literally the starting tokens of the prompt — the bytes from position 0 onward, in order, that two requests have in common before they diverge. ...