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KV Caching

topic on 1 show · 3 statements across 2 episodes

Latent Space

3 statements about KV Caching, every show

LATENT SPACE Insight
Most inference optimizations like KV caching are lossless, unlike quantization
“Most inference optimizations are lossless. KV caching, for example, you are just recomputing or preventing recomputing the same values. Speculation, of course, If a draft token is wrong, it gets rejected. The main lossy optimization is quantization”
Philip Kiely Aug 3, 2026 ▶ 26:55 Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
LATENT SPACE Prediction Not checkable as stated
Howard: AI developers will spend 12 months mapping RAG, fine-tuning, and KV caching
“Something over the next 12 months people will be spending time thinking about is how to, like, where to use RAG, where to use fine-tuning, where to use KV cache storage, you know, and how to use state.”
Jeremy Howard Aug 17, 2024 ▶ 1:08:05 Answer.ai & AI Magic with Jeremy Howard
LATENT SPACE Assertion Supported
Howard: Google Gemini is about to release KV caching support
“Gemini is about to finally come out with KV caching, and this is something that Austin actually and Gemma.cpp had had on his roadmap for years well not years, months, long time is, is that.”
Jeremy Howard Aug 17, 2024 ▶ 1:06:34 Answer.ai & AI Magic with Jeremy Howard

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