A new ByteDance study provides a roadmap for training small, open models that deliver high-quality multilingual AI ...

A comprehensive survey published May 23 in Intelligent Computing, a Science Partner Journal maps out the role of large ...

A new study published in Current Molecular Pharmacology explores the transformative role of large language models (LLMs) in drug development. The research highlights how LLMs enhance efficiency and ...

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

The new option for AI translation — alongside SAP’s existing traditional machine translation (MT) — is available via the SAP Business Technology Platform (BTP), where the Translation Hub enables ...

Matthew Leming, Ph.D., and Hyungsoon Im, Ph.D. of the Center for Systems Biology at Massachusetts General Hospital, are the ...

President Donald Trump’s political speeches recently served as a testing ground for the capabilities and limitations of large language models. By analyzing the metaphors embedded in four major ...

The rapid growth of Large Language Models (LLMs) and their in-context learning (ICL) capabilities has significantly transformed paradigms in artificial intelligence (AI) and natural language ...

Michal Kosinski’s recent study on theory of mind (ToM) tasks given to different large language models (LLMs) (1) is fascinating and offers many insights into the continued evolution and development of ...

CoR lets models blend these formats using natural language to frame context, code for precise calculations, and symbolic representations for abstraction. By adjusting prompts, CoR adapts both ...

Large Language Models (LLMs) have rapidly become indispensable Artificial Intelligence (AI) tools, powering applications from chatbots and content creation to coding assistance. Despite their ...