NewBeeNLP
NewBeeNLP
Sep 5, 2024 · Artificial Intelligence

Why RLHF Is Irreplaceable: Uncovering the Limits of SFT

The article analyzes why supervised fine‑tuning (SFT) cannot replace reinforcement learning from human feedback (RLHF), highlighting SFT's lack of negative feedback and backward‑looking capability, and explains how RLHF’s reward model addresses these fundamental shortcomings.

RLHFSFTTraining Methods
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Why RLHF Is Irreplaceable: Uncovering the Limits of SFT