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Pre-training, SFT, RLHF: Three Stages That Turn a Text Predictor into a Useful Assistant

Every LLM goes through three training stages: pre-training reads the internet to learn language, SFT uses example conversations to learn the format, and RLHF uses human preferences to learn what a good answer looks like. The gap between a base model and a chat model is what the last two stages do.

CS224N Lecture 16: Hallucination, Creativity, Work, and Alignment

Lecture 16 divides NLP's social impact into four questions: why models hallucinate, why AI-assisted creativity may homogenize output, how work is reorganized, and why value alignment cannot be reduced to one reward.