Unverified50% confidenceOpinionExact time
Persona post-training typically belongs to a specialized variant of supervised fine-tuning (SFT) or preference alignment (such as RLHF, DPO), focusing more on the consistency of model outputs rather than the upper limit of capability.
1
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50%
Confidence
Long-term
Relevance
10/4/2026
First Seen
Sources
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Related Claims
Unverified"Post-training" is the alignment and capability enhancement phase following pre-training, and typically includes SFT, RLHF, and reinforcement learning based on process reward models (such as GRPO and DAPO).73% similarVerified从预训练检查点到可商用产品需经历监督式指令微调（SFT）和基于人类反馈的强化学习（RLHF）两个后训练阶段73% similarUnverifiedPre-training and SFT provide only positive supervision, whereas DPO and adjacent RL techniques provide the leverage of negative supervision, which can reduce the probability of erroneous sequences.72% similarUnverifiedMinor version upgrades are carried out through post-training techniques such as supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), or direct preference optimization (DPO), at a lower cost than full pretraining.71% similar
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