RAG++: From POC to Production - Advanced Techniques and Implementation
Offered By: Weights & Biases via YouTube
Course Description
Overview
Explore an advanced Retrieval-Augmented Generation (RAG) course in this 19-minute video generated using NotebookLM. Dive into the fundamentals of RAG, comparing basic and advanced techniques, and discover innovative approaches introduced throughout the curriculum. Gain insights into NotebookLM's AI-powered capabilities, including text summarization, question answering, idea generation, and audio file creation. For a comprehensive learning experience with in-depth lessons and code notebooks from industry experts at Cohere, Weights & Biases, and Weaviate, enroll in the full course to elevate your RAG skills from proof-of-concept to production-ready applications.
Syllabus
NotebookLM: RAG++ course
Taught by
Weights & Biases
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