The Core Principles of KV Cache Compression: Turning Information Loss into Intelligent Filtering
Large Language Models (LLMs) generate responses by storing and utilizing information from previous tokens, a process that produces a collection of Key and Value vectors known as the "KV Cache" [S2458]. As context length
LLMKV CacheMemory OptimizationAttention Matching+1