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John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges1:03:32

John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges

88K views • 3 years ago
UC Berkeley EECS
UC Berkeley EECS colloquium by OpenAI's John Schulman on reinforcement learning from human feedback. He covers why RL helps with truthfulness, hallucination, and the limits of behavior cloning.
State of GPT | BRK216HFS42:40

State of GPT | BRK216HFS

785K views • 3 years ago
Microsoft Developer
Andrej Karpathy walks through how GPT assistants are trained, from tokenization and pretraining to supervised finetuning and RLHF, and gives practical prompting strategies and a view of the tooling ecosystem.