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How to Improve LLMs with RAG - Overview and Python Code

Offered By: Shaw Talebi via YouTube

Tags

Retrieval Augmented Generation (RAG) Courses Artificial Intelligence Courses Machine Learning Courses Python Courses LLM (Large Language Model) Courses Text Embedding Courses Retrieval Augmented Generation Courses

Course Description

Overview

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Learn about Retrieval Augmented Generation (RAG) and its application in improving large language models in this beginner-friendly video tutorial. Explore the concept of RAG, understand its workings through text embeddings and retrieval, and discover how to create a knowledge base. Follow along with a practical example that demonstrates improving a YouTube comment responder using RAG techniques. Gain insights into the limitations of language models and how RAG addresses them. Access accompanying resources including a series playlist, code examples on GitHub and Google Colab, and a detailed blog post for further learning.

Syllabus

Intro -
Background -
2 Limitations -
What is RAG? -
How RAG works -
Text Embeddings + Retrieval -
Creating Knowledge Base -
Example Code: Improving YouTube Comment Responder with RAG -
What's next? -


Taught by

Shaw Talebi

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