AI Simplified: Exploring the Basics of RAG and Fine Tuning

Hey everyone! Are you curious about how to enhance your AI projects using Large Language Models? Today, we're unpacking two essential techniques: RAG (Retrieval Augmented Generation) and Fine Tuning. Here’s what we'll cover: 🔍 Understanding RAG: Jump into the world of Retrieval Augmented Generation and its role in boosting AI applications. 🛠️ Demystifying Fine Tuning: See how adjusting LLMs can specifically tailor their abilities to better meet your needs. 👍 Weighing the Options: I'll break down the benefits and challenges of each approach, helping you choose what’s best for your project. 🏆 From My Experience: I'll share my personal take on using these methods and which one I find more practical. This video is just the beginning! We’re setting everything up for a more hands-on session in our next video, where we'll actually build an LLM application together. Make sure you subscribe and hit that bell icon so you won’t miss out! #LLM #AI #MachineLearning #Technology #RAG #FineTuning -- Follow me on: Threads: https://www.threads.net/@berwinsingh 𝕏: https://twitter.com/berwin_singh Instagram: https://www.instagram.com/berwinsingh/ -- Thanks for Watching! Like, Share, and Subscribe...