Abstract Large Language Models (LLMs) have revolutionized natural language processing, but they face challenges with hallucination and outdated knowledge. This introductory talk explores Retrieval-Augmented Generation (RAG) as a solution that combines the reasoning capabilities of LLMs with real-time information retrieval from external knowledge sources. Perfect for beginners wanting to understand the RAG paradigm and experienced developers looking to implement their first RAG application.
Speaker Bio Hassan is Senior Applied Scientist at Microsoft, with more than 6 years of experience within NLP and AI across multilple locations along with Egypt, US, UK and Canada.