Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) fine-tuning are two common methods for post-training large models. While reinforcement learning fine-tuning has made significant progress ...

The Transformer model is not only at the core of the language processing revolution but also demonstrates extensive application value in the field of Natural Language Processing (NLP). However, it ...

Bidirectional Text Messaging to Monitor Endocrine Therapy Adherence and Patient-Reported Outcomes in Breast Cancer Risk stratification underlies system-wide efforts to promote the delivery of ...