Empowering Language Models: Exploring the Capabilities of RAG

Join us for an in-depth discussion on Retrieval-Augmented Generation (RAG), a method that enhances large language models by integrating external information sources to improve accuracy and relevance. We will explore the origins of RAG, its core components, and how it functions to provide more informed and trustworthy AI responses. This talk will also address some practical applications of RAG in various industries as well as some challenges associated with implementing this technology effectively.