How does DPO work?

DPO reformulates the preference optimization problem as a simple classification loss over preferred and rejected responses, training the policy directly on pairwise preference data using standard supervised learning techniques. The technique is dramatically simpler than RLHF — no PPO, no reward model, no rollout sampling — while matching or exceeding RLHF quality on most benchmarks. The platform strengthens enterprise rea