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.
原文节选
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 »