A development team has a pre-trained language model and wants to fine-tune it to produce responses that are more helpful and safe. Their strategy involves first creating a separate model whose sole job is to score how good a given response is, based on human preferences. Which of the following best describes the data and objective used to train this specific 'scoring' model?

You are tasked with aligning a large language model to better follow human preferences using a reward-based approach. Arrange the following high-level stages of the process into the correct chronological order.

Diagnosing Reward Model Failure

Rating LLM Outputs for Reward Models

Challenges of Rating LLM Outputs