Generative AI - Large Language Models and Retrieval Augmented Generation - Lecture 9
MIT OpenCourseWare via YouTube
Get 20% off all career paths from fullstack to AI
AI Engineer - Learn how to integrate AI into software applications
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore the fundamentals of generative artificial intelligence through this comprehensive lecture from MIT's Hands-On Deep Learning course. Delve into Large Language Models (LLMs) and understand how they perform next word prediction using transformer encoder architecture from previous coursework. Learn about Retrieval Augmented Generation (RAG), a powerful technique that enhances language model capabilities by incorporating external knowledge retrieval. Master the theoretical foundations and practical applications of these cutting-edge AI technologies that are transforming natural language processing and generation. Gain insights into how transformer architectures enable sophisticated language understanding and generation capabilities in modern AI systems.
Syllabus
9: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)
Taught by
MIT OpenCourseWare