AI Post-Training

Domain: the rung after supervised fine-tuning — turning a pretrained or SFT'd base model into an aligned, preference-tuned, or reasoning-capable model with a reward signal. This skill owns the post-training decision and pipeline: when to post-train at all, which reward signal you can produce, which algorithm family fits, and how to keep it from over-optimizing. Per-algorithm operational depth lives in ai-llm/references/post-training.md (PPO, DPO, SimPO, KTO, GRPO, GSPO, DAPO, RLVR, RULER, ORPO — catalogue + decision tree); this skill routes there.

It does not cover: pretraining (ai-pretraining), the prompt→RAG→SFT promotion ladder (ai-architecture-advisor), or serving the result (ai-llm-inference).

Quick Reference