The authors built an eight-stage pipeline: supervised fine-tuning (SFT), reinforcement learning for reasoning, coding and instruction following, then general, coding and search agent training, followed by reinforcement learning from human feedback (RLHF).
Eight-stage post-training recipe improves an open 106-billion-parameter language model
The authors combine supervised fine-tuning, several specialized reinforcement-learning stages, agent training and RLHF in a documented serial pipeline.
Big Tech
Chia-Yuan Chang · Renyuan Cheng · Rui Feng · Xiaotian Han · Yuan He · Hongye Jin · +16 more
Amazon
Research Digest··2 min read
Chang et al.
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A reproducible eight-stage post-training recipe improves the GLM-4.5-Air-Base model beyond its official release.
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