ended5월 20일· 1 sources
From Raw Data to Helpful Assistants: The Power of Supervised Fine-Tuning
단순 예측에서 비서로, AI의 사회성을 길러주는 SFT의 가치
Why it matters
Supervised Fine-Tuning (SFT) serves as the primary bridge to align pretrained models with human intent and conversational norms. This phase is crucial for transforming generic token predictors into useful assistants, though its scalability limitations necessitate the move toward Reinforcement Learning with Human Feedback (RLHF).
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Supervised Fine-TuningSFTModel AlignmentRLHFPretrained Models