RAG Explained in 7 Minutes: The Future of AI?

Hey, I'm Austin! I'm a visual learner and grad student studying AI. In this video, we're diving into Retrieval Augmented Generation (RAG), a groundbreaking AI technique transforming how we interact with information. What is RAG? We'll break down this powerful combination of traditional search and generative AI, and how it's already shaping tools like ChatGPT. How does it work? Discover the role of Large Language Models (LLMs) and Vector Databases in making RAG tick. Why is RAG important? Learn how RAG is addressing the "hallucination" problem in AI and paving the way for more accurate, reliable AI applications. RAG use cases: Explore exciting real-world applications of RAG, from personalized marketing to advanced research tools. 📖 Chapters: 00:00 - RAG Intro 00:26 - Large Language Models 01:08 - LLM Hallucinations 02:18 - Hallucination Examples 02:34 - Reducing Hallucinations with RAG 03:05 - RAG in Action 03:51 - How Retrieval Works 04:18 - Vector Databases 05:30 - Is RAG the Future of AI? 06:42 - Awesome RAG Use Cases Ready to build your own AI projects? My premium courses will get you up to speed with LangChain, ChatGPT, and the skills you need to harness the power of RAG. Check them out here: https://stan.store/aiwithaustin Like, subscribe, and join the conversation in the comments! Let's explore the future of AI together.