Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has ...

The rapid growth of large language models is placing increasing demands on data centers, where large volumes of data must be ...

Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...

What the firm found challenges some basic assumptions about how this technology really works. The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

A new study finds that large language models (LLMs), used with straightforward prompting, perform poorly on routine number-crunching tasks that hospital administrators depend on every day to track ...

The citations at the end of a research paper should represent a solid foundation of existing knowledge about a particular ...

Key Takeaways AI-generated investment portfolios are highly concentrated in large-cap tech stocks, particularly ...