37% Better Output with 15 Lines of Code - Llama 3 Improved RAG
Offered By: All About AI via YouTube
Course Description
Overview
Discover how to enhance RAG (Retrieval-Augmented Generation) performance by 37% with just 15 lines of code in this informative video tutorial. Explore the implementation of improved RAG techniques for Llama 3 8B on Ollama and Llama 3 70B on Groq. Learn about a common problem in local RAG systems and its solution, understand the mechanics behind the improvement, and see a comparison between different model sizes. Gain insights into practical AI engineering techniques and how to boost the output quality of language models significantly with minimal code changes.
Syllabus
Llama 3 Improved RAG Intro
Problem / Soulution
Brilliant.org
How this works
Llama 3 70B Groq
Conclusion
Taught by
All About AI
Related Courses
Build a Natural Language Processing Solution with Microsoft AzurePluralsight Challenges and Solutions in Industry Scale Data and AI Systems - Yangqing Jia
Association for Computing Machinery (ACM) via YouTube An AI Engineer Guide to Comet Model Registry Platform
Prodramp via YouTube An AI Engineer Guide to Model Monitoring with Comet ML Platform
Prodramp via YouTube An AI Engineer's Guide to Machine Learning with Keras
Prodramp via YouTube