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 ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

Cautious Artificial Intelligence Improves Outcomes and Trust by Flagging Outlier Cases In total, 139,057 radiology reports on 6,211 unique patients from the Department of Veterans Affairs were used.

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 ...