Post-trainingRapid Fire
Post-Training Fundamentals 2
Explore how preference data and reward signals shape post-training through seven short questions.
Unlock with Full AccessThe round
Explain the roles of reward models and value critics, compare forms of supervision and reason about reward-guided selection. Then examine what preference labels, test results and rising reward scores tell you about response quality.
- Data and rewards
- This second set focuses on feedback and reward design. Each question is self-contained and asks for a brief explanation.
What you'll practise
Training signals
Distinguish the roles of learned rewards, value estimates and supervision.
Data quality
Reason about preference labels and the evidence supplied by automated checks.
Reward-guided choices
Explain output selection and investigate whether reward scores reflect useful responses.
Post-training data and rewards
Answer seven questions
Get feedback on each answer when you finish the round.
All questions and feedback are included with Full Access.