Researchers used large language models to efficiently detect anomalies in time-series data, without the need for costly and cumbersome training steps. This method could someday help alert technicians ...

MIT this week showcased a new model for training robots. Rather than the standard set of focused data used to teach robots new tasks, the method goes big, mimicking the massive troves of information ...

How can large language models (LLMs) be improved to perform simple tasks, as they are often designed to perform complex tasks? This is what a recently submitted study hopes to address as a team of ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

The field of large language models (LLMs) has rapidly evolved, with models like ChatGPT gaining widespread adoption due to ...