Excited to launch the accompanying free RLHF Course for my book. To kick it off, I've released:

- Welcome video

- Lecture 1: Overview of RLHF & Post-training

- Lecture 2: IFT, Reward Models, Rejection Sampling

- Lecture 3: RL Math

- Lecture 4: RL Implementation

I'm going to add question & answer videos throughout the lecture to go deeper on topics that need it, and potentially cover some topics that are too recent and in flux to go in print. I expect 10-15 videos in total over the next few months.

At the same time, development around the code for the book is picking up. It's a great time to build the foundation for post-training methods.

Landing page: rlhfbook.com/course

Playlist: