Guide details LLM post-training feedback selection

The author argues that large language model post-training requires establishing specific behavior contracts, selecting appropriate feedback signals, and evaluating whether weight updates actually transfer to target workflows. The guide compares training approaches including SFT, DPO, KTO, PPO, and GRPO, while emphasizing that prompts, retrieval, and tooling should be exhausted before altering model weights. Open article →