Is LLM caching necessary?

Question

With the proliferation of large models, an increasing number of enterprises and individual developers are now developing applications based on these models. As such, it is worth considering whether large model caching is necessary during the development process.Our project: https://github.com/zilliztech/GPTCache

SimFG · Accepted Answer

Lior's tweet: https://twitter.com/AlphaSignalAI/status/1677348799801425920
You can cut your GPT API expenses by 50% through caching using LangChain and GPTCache.
You will also benefit from significant response time increase and API rate limit restrictions.

Is LLM caching necessary?

Lior's tweet: https://twitter.com/AlphaSignalAI/status/1677348799801425920You can cut your GPT API expenses by 50% through caching using LangChain and GPTCache.You will also benefit from significant response time increase and API rate limit restrictions.

Lior's tweet: https://twitter.com/AlphaSignalAI/status/1677348799801425920
You can cut your GPT API expenses by 50% through caching using LangChain and GPTCache.
You will also benefit from significant response time increase and API rate limit restrictions.