What is DPO?
Alignment
DPO (Direct Preference Optimization) — A simpler alternative to RLHF for aligning LLMs with human preferences. Directly optimizes the model using preference pairs without needing a separate reward model.
FAQ
What is DPO?
A training method that aligns LLMs with human preferences using pairs of preferred/rejected outputs, without needing a reward model.
DPO vs RLHF?
DPO is simpler (no reward model needed), more stable to train, and produces similar results. Most teams now prefer DPO.
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