Overview
Learn about Retrieval Augmented Generation (RAG) in this 58-minute seminar presentation from the University of Utah Data Science series on Advances in Generative AI. Explore the fundamental concepts, architecture, and applications of RAG systems through detailed explanations and visual aids presented by Purbid Bambroo. Gain insights into how RAG enhances large language models by combining them with external knowledge retrieval to produce more accurate and contextually relevant responses.
Syllabus
Advances in Generative AI Seminar: Retrieval augmented generation (RAG)
Taught by
UofU Data Science