The Complete Guide to Inference Caching in LLMs

# The Key Insight Large language models cost a lot to run, especially when you use them repeatedly, so companies are adopting "inference caching"—a technique that saves the results of previous requests so you don't have to re-process the same information twice. Think of it like remembering answers you've already looked up instead of searching for them again every time. This can significantly cut costs and speed up responses for businesses relying on AI tools.