RLHF Overview Quiz

Quiz covering Fine-Tuning and Customization

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

1. 1

   What is the primary goal of Reinforcement Learning from Human Feedback (RLHF) in the context of Large Language Models?

2. 2

   In the standard RLHF pipeline, what is the role of the 'Reward Model'?

3. 3

   Which of the following describes the 'Supervised Fine-Tuning' (SFT) phase that typically precedes RLHF?

4. 4

   Why is a KL-divergence penalty typically applied during the Reinforcement Learning phase of RLHF?

5. 5

   In a scenario where a reward model is trained on human pairwise comparisons, what is the mathematical objective during the optimization phase?