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 ...

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

As great as generative AI looks, researchers at Harvard, MIT, the University of Chicago, and Cornell concluded that LLMs are not as reliable as we believe. Even a big company like Nintendo did not ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every ...

Chinese artificial intelligence development company DeepSeek has released a new open-weight large language model (LLM). DeepSeek uploaded its newest model, Prover V2, to the hosting service Hugging ...