Vivek Shah: How Does RLHF Work for LLM Training?

RLHF for LLM training

Key Takeaways

RLHF uses human feedback to make large language models sound more accurate, helpful, and natural.
The process starts with human-created prompts and supervised fine-tuning of model responses.
A reward model then helps the AI evaluate and improve its own outputs over time.
RLHF is used beyond text, including in robotics, games, and other generative AI systems.
While powerful, RLHF is limited by the subjectivity and potential bias of human feedback.