For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

Two years into his English literature degree at the University of Pittsburgh, sophomore Luke Johnson has noticed something in his liberal arts courses: Students in his classes have gone quiet.

To stay up to date and work forward in their fields, scientists must have at their fingertips and in their minds thousands of published studies. Large language models (LLMs) show promise as a tool for ...