Inference will take over for training as the primary AI compute moving forward. Broadcom has struck gold with its custom ...

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 ...

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 ...

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) ...

This is a Python implementation of my previous project Business Rules Reasoning System, enhanced with a reasoning orchestrator that leverages Large Language Models (LLMs) to enable a fully transparent ...