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.