That's why Stanford radiologists developed a large language model to help address patients' medical concerns and questions about X-rays, CTs, MRIs, ultrasounds, PET scans, and angiograms.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Abstract Purpose To evaluate the performance and consistency of large language models (LLMs) across brand and generic oncology drug names in various clinical tasks, addressing concerns about potential ...

Anthropic researchers have open-sourced the tool they used to trace what goes on inside a large language model during inference. It includes a circuit tracing Python library that can be used with ...

SAN FRANCISCO (KRON) — A large four-alarm fire ripped through several multi-residential buildings in San Francisco’s Inner Richmond neighborhood early Friday morning. More than 130 firefighte… ...

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The large language model technology behind Character.ai's service differs from content found in books, movies, or video games, which has traditionally enjoyed First Amendment protection.

Vesicle cycle model reveals inner workings of brain synapse Advanced modeling system sheds new light on the synaptic vesicle cycle, essential in human brain function Date: May 30, 2025 Source ...

How do we think, feel, remember, or move? It all depends on transmission of chemical signals in the brain, carried and released by molecular containers called vesicles. In a new collaborative ...

For DOD, the future of large language models is smaller Everyone loves big AI, but “maybe there is a smaller-parameter model that could run on a laptop.” ...

What happens when people can see what assumptions a large language model is making about them?

If you're not sure which ChatGPT model you should be using, here's a guide. OpenAI has versions for different uses.