DPO (direct preference optimization)
Also written: DPO, direct preference optimization
Preference tuning done in one ordinary training loop. It pushes the model to make the chosen answer likelier than the rejected one, relative to a frozen reference model.
Where the book teaches it
Related terms
Preference tuningReference modelBetaRewards (in DPO logs)RLHF