AI models are increasingly used for tasks like identifying diseases in medical images or filtering job applications. However, one challenge remains: how can users know

MIT researchers have introduced a new calibration technique called Thermometer, designed to prevent large language models (LLMs) from being overly confident about wrong answers. This

MIT researchers have developed a new method using large language models (LLMs) to detect anomalies in time-series data without the need for training. This approach,

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have uncovered fascinating results that suggest large language models (LLMs) may develop an internal understanding

MIT CSAIL researchers have developed a groundbreaking AI team coordinator designed to improve collaboration between human and AI agents. This AI assistant ensures that team

MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a groundbreaking algorithm called Co-LLM, designed to enhance collaboration between general-purpose large language models (LLMs)