Why it matters

DPO scaling shapes alignment strategy. Understanding shapes practice.

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The architecture

Preference data scale + quality.

Beta parameter tuning.

Reference model choice.

Iterative DPO helps.

DPO scaling axesData scale + qualityprefsBeta tuningKL regularizationIterative DPOmulti-round gainsIterative DPO + Online DPO variants show continued gains with iteration
DPO scaling.
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How it works end to end

Quality preference data critical.

Beta 0.1-0.5 typical.

Iterative gains continue.