Retrieval Augmented Generation Explained for Beginners - RAG in LLMs
Offered By: Great Learning via YouTube
Course Description
Overview
          Explore Retrieval Augmented Generation (RAG) for beginners in this comprehensive video tutorial. Delve into the fundamentals of Large Language Models (LLMs) and RAG, covering key components like retrieval and generation. Learn about the RAG workflow, practical applications, and challenges such as hallucinations. Gain hands-on experience with RAG implementation using LangChain, from importing libraries to detailed demonstrations. Master essential concepts and terminology, understand the limitations of LLMs, and discover how RAG addresses these challenges. Follow along with step-by-step instructions for implementing RAG, and conclude with a summary of key takeaways. Perfect for those looking to enhance their understanding of advanced AI techniques in natural language processing.
        
Syllabus
 Introduction
 Introduction to LLMs
 Limitations of LLMs
 Introduction to RAG
 RAG Basics Concepts and Terminology
 Key Components - Retrieval and Generation
 Workflow of RAG
 Applications of RAG
 Hallucinations in RAG
 Steps to implement RAG with LangChain
 Hands-on RAG - Importing Libraries
 Hands-on RAG in detail
 RAG - Summary
Taught by
Great Learning
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent
