You'll learn how Retrieval-Augmented Generation (RAG) empowers AI models to access and use up-to-date, factual information, effectively preventing 'hallucinations' and enabling real-time data access. We'll cover its core components, practical applications, and how it compares to traditional fine-tuning.
Large Language Models (LLMs) often 'hallucinate' or invent facts, even when trained on vast datasets.
Despite being trained on trillions of words, LLMs like GPT-3.5 or LLaMA have a fixed knowledge cutoff.