Generative AI for Cloud Solutions

4

RAGs to Riches: Elevating AI with External Data

LLMs such as GPT have certain limitations. They may not have up-to-date information due to their knowledge cutoff date for training. This poses a significant challenge when we want our AI models to provide accurate, context-aware, and timely responses. Imagine asking an LLM a question about the latest technology trends or seeking real-time updates on a breaking news event; traditional language models might fall short in these scenarios.

In this chapter, we’re going to introduce you to a game-changing technique called retrieval-augmented generation (RAG), an outcome of the work carried out by researchers at Facebook AI (now Meta). It’s the secret sauce that empowers language models such as GPT ...