Up close, a pointillist painting looks like thousands of individual dots. Step back, and a bigger picture emerges.
Yale researchers say something similar may help explain how AI chatbots make sense of information. A new study offers clues about how large language models recognize patterns and organize information in ways that resemble aspects of human reasoning.
The findings could help scientists better understand how these systems work and make their responses more predictable.
Take a closer look at the research:
54302.6K

























