Question 1: Short answer
easyAI-checkedAlignment & ReasoningComplete InstructGPT's three-step RLHF recipe. First, labelers write demonstrations of the desired behavior, and a pretrained GPT-3 is fine-tuned on them with learning. Second, labelers compare several outputs for the same prompt, and a model is trained to predict which output they prefer. Third, the fine-tuned policy is optimized against that model's score with the RL algorithm .
Fill in every blank (hints in the boxes). Enter moves to the next blank.