SFT vs. RL: What Changes Inside the Model?
In modern generative AI post-training, two fundamental paradigms dominate: Supervised Fine-Tuning (SFT) and Reinforcement Learning with Verifiable Rewards (RLVR / GRPO) . While practitioners often treat SFT and RL as interchangeable steps on an incremental tuning ladder, they perform mathematically…
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- 2026-09-24 21:52 · DEV Community — Machine Learning
SFT vs. RL: What Changes Inside the Model?