DPO vs RLHF: which should you use to align a model?
Use DPO first: it learns from the same preference labels as RLHF but drops the reward model and the online sampling loop, so it is cheaper, faster and easier to debug. On Nodus the whole DPO path runs on managed runtimes ( nodus/sft , then nodus/dpo ), while RLHF adds a nodus/reward-model stage and…
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- 2026-11-14 02:35 · DEV Community — Machine Learning
DPO vs RLHF: which should you use to align a model?