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Explore the concept of Retrieval-Augmented Generation (RAG) in this 30-minute video tutorial. Dive into a comprehensive overview of RAG, a crucial AI technique for reducing hallucinations in language models. Learn about the fundamentals, detailed workings, and advanced applications of RAG through three progressive passes, each followed by a quiz to reinforce your understanding. Gain insights from referenced research and additional resources on vector representations of sentences. By the end of this tutorial, grasp the importance of RAG in improving the accuracy and reliability of AI-generated responses.
Syllabus
Introduction
Pass 1: RAG overview
Quiz 1
Pass 2: RAG Details
Quiz 2
Pass 3: Advanced RAG
Quiz 3
Summary
Taught by
CodeEmporium