What is the difference between RLHF (Reinforcement Learning from Human Feedback) and standard supervised fine-tuning of language models?

Question

Machine Learning — Hard

What is the difference between RLHF (Reinforcement Learning from Human Feedback) and standard supervised fine-tuning of language models?

Accepted Answer

RLHF and supervised fine-tuning differ in their approach to training language models. RLHF uses a reward model from human preference comparisons to optimize the model, capturing nuanced preferences. In contrast, supervised fine-tuning directly trains on human-provided demonstrations.