Why Your LLM Semantic Cache is a Ticking Time Bomb (And How I Fixed It)
中文摘要
向量语义缓存难以识别LLM中的微妙否定，存在风险。本文探讨了其数学失效原因并提供了解决方案。
English Summary
Vector-based semantic caches for LLMs can fail on subtle negations. This article explores the mathematical causes of these failures and provides solutions.
Original Excerpt
In this article, let’s explore why vector-based semantic caches fail on subtle negations, dive into the math of high-dimensional… Continue reading on Medium »