Reinforcement Learning from Human Feedback - From Zero to ChatGPT

Explore the fundamentals of Reinforcement Learning from Human Feedback (RLHF) and its application in cutting-edge AI tools like ChatGPT in this comprehensive recorded talk. Delve into the interconnected machine learning models, covering essential concepts in Natural Language Processing and Reinforcement Learning. Gain insights into the technical details of RLHF, including training data, conceptual questions, and popular triggers. Learn about pretraining models, offline RL, and open questions in the field. Access additional resources such as slides, blog posts, and courses to further your understanding. Join Nathan Lambert, a Research Scientist at HuggingFace, as he shares his expertise and discusses the latest breakthroughs in machine learning.

Introduction
Recent breakthroughs in ML
What is RL
History of RL
ChatGPT
Technical Details
Training Data
Conceptual Questions
Summary
Most Popular Trigger
Pretraining Model
Anthropic Model
Offline RL
Wrapup
Q A
Red HF
Resources
Open Source Community
Paper