(A) Comparison of MD with 95% CI for subjective question accuracy across different LLMs over various time periods. The x-axis represents the magnitude of MD, with blue squares indicating the MD value ...

As large language models (LLMs) continue their rapid evolution and domination of the generative AI landscape, a quieter evolution is unfolding at the edge of two emerging domains: quantum computing ...

The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...

DeepSeek founder Liang Wenfeng has published a new paper with a research team from Peking University, outlining key technical ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

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 community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...

Large language models could transform digestive disorder management, but further RCTs are essential to validate their ...