LLM Caching Is Your Cheapest Scaling Lever (Most Teams Have Not Pulled It)
中文摘要
语义缓存通过降低LLM推理成本实现高性价比扩展，虽实施简单，但多数团队尚未采用。
English Summary
Semantic caching is a cost-effective way to scale LLM workloads by reducing inference costs, yet most teams have yet to implement it.
原文节选
Semantic caching for LLM workloads is unglamorous, takes about a week, and routinely removes most of an inference bill. Here is why so few… Continue reading on Medium »