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 mathematica...
Source: [Dev.to](https://dev.to/g_factor/sft-vs-rl-what-changes-inside-the-model-30ho)