Retrieval-Augmented Generation (RAG) is the Solution to LLM's Limited Context Windows
Are you curious about how AI can search for relevant information and then generate human-like responses? Dive into the world of Retrieval-Augmented Generation (RAG) with us! In this comprehensive video, we'll explore what RAG is, why it's groundbreaking, and how it combines information retrieval with text generation.
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🔍 What You'll Learn:
Beginner Level: Introduction to RAG and its two main components: retrieval and generation.
Intermediate Level: The mechanics of how RAG finds relevant documents and how it leverages models like Transformers.
Advanced Level: A hands-on Python code example using the Hugging Face Transformers library to implement RAG.
💼 Who Should Watch?
Whether you're an AI enthusiast, a student, a researcher, or a working professional, this video provides valuable insights into one of the most exciting developments in AI.