Reward Modeling

Train and operate reward models as first-class safety artefacts. Learn preference data collection (annotator selection, rubric design, disagreement handling), reward-model calibration, distribution shift in the reward signal, reward-model auditing against held-out behaviours, and the risk of Goodharting the reward model itself.