Healthcare Uses Specialized Language. It Needs Specialized AI, Too.
Large language models often misinterpret the clinical dialects used across medical fields.
Large language models often misinterpret the clinical dialects used across medical fields.
Five ways to speak their language—while steadily shaping strategy and outcomes.
Read MoreA new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
Read MoreIn controlled experiments, MIT CSAIL researchers discover simulations of reality developing deep within LLMs, indicating an understanding of language beyond simple mimicry.
Read MoreMAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
Read MoreNew CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.
Read MoreMosaicML, co-founded by an MIT alumnus and a professor, made deep-learning models faster and more efficient. Its acquisition by Databricks broadened that mission.
Read MoreCombining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.
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