Over the last three decades, the evidence on how to best treat the cognitive and non-cognitive symptoms of patients with ...

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.

Suppose you have the opportunity to invest in a project that will require a $100 investment today and pay out a single cash flow of $250 in year ...

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...