Post-training of large language models has long been clearly divided into two paradigms: supervised fine-tuning (SFT) centered on imitation and reinforcement learning (RL) driven by exploration.

O ver my four decades as a physician, I have learned that the ethics of care can completely transform a health system. It means recognizing that every act of care—whether directed toward a patient, a ...

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