Writing about ML systems, GPU programming, inference optimization, and things I learn along the way.
How a 135M-parameter helper model decides which KV cache entries the 14B model actually needs to recompute.
Recomputing about 15% of the tokens per layer buys you the speed of KV reuse and the quality of a full prefill.