Improving the usefulness of LLMs with RAG
Improving the usefulness of LLMs with RAG
By E2E Networks Ltd.
Date and time
Thursday, June 27 · 10 - 11am PDT
Location
Online
Improving the usefulness of LLMs with RAG
Online
LLMs like GPT can give useful answers to many questions, but there are also well-known issues with their output: The responses may be outdated, inaccurate, or outright hallucinations, and it’s hard to know when you can trust them. And they don’t know anything about you or your organization private data (we hope). RAG can help reduce the problems with “hallucinated” answers, and make the responses more up-to-date, accurate, and personalized - by injecting related knowledge, including non-public data. In this talk, we’ll go through what RAG means, demo some ways you can implement it - and warn of some traps you still have to watch out for.