With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

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A marriage of formal methods and LLMs seeks to harness the strengths of both.

The field of artificial intelligence has reached a point where simply adding more data or increasing the size of a model is not the best way to make it more intelligent. For the past few years, we ...

ABSTRACT: This paper undertakes a foundational inquiry into logical inferentialism with particular emphasis on the normative standards it establishes and the implications these pose for classical ...

To be useful, humanoid robots will need to be competent at many tasks, according to Boston Dynamics. They must be able to manipulate a diverse range of objects, from small, delicate objects to large, ...

Thank you again for your great work. I am trying to use a diverse text prompt, but it gives me a meaningful prediction, which is right lung masks from the first example below. image_path = ...

French AI darling Mistral is keeping the new releases coming this summer. Just days after announcing its own domestic AI-optimized cloud service Mistral Compute, the well-funded company has released ...

During the peer-review process the editor and reviewers write an eLife assessment that summarises the significance of the findings reported in the article (on a scale ranging from landmark to useful) ...