RLHF Theory and Implementation: Teaching Machines to Learn from Human Preferences
A complete guide to aligning language models with human preferences: from reward modeling to PPO, with full code implementations.
intermediate~3 hours3 notebooksRLHFReward ModelingPPOPolicy GradientsKL DivergenceLanguage Model AlignmentBradley-Terry Model
Curator of this Module
Dr. Rajat Dandekar
Course Instructor
Dr. Rajat Dandekar is a researcher and educator specializing in AI/ML, with a passion for making complex concepts accessible through intuitive explanations and hands-on learning.
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