Unverified50% confidenceFactExact time
The study starts from the same pretrained GPT-2 Small checkpoint and applies two matched conditions separately: standard continued training and adversarial continued training.
1
Sources
50%
Confidence
Long-term
Relevance
9/30/2026
First Seen
Sources
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Related Claims
UnverifiedCompared to full pre-training, SFT requires far less data and compute, but still requires a GPU cluster, a distributed training framework, and checkpoint management and experiment tracking capabilities.75% 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74% similarVerifiedLarge model training goes through three core stages: pre-training, supervised fine-tuning (SFT), and preference alignment.73% similarUnverifiedBy constructing supervisory signals from the data itself, self-supervised learning has become the core training strategy for large-scale pre-trained models such as BERT, GPT, and MAE.71% similar
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