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 ...
Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...
Exposed endpoints quietly expand attack surfaces across LLM infrastructure. Learn why endpoint privilege management is important to AI security.
Artificial intelligence (AI) systems are now widely used by millions of people worldwide, as tools to source information or ...
XDA Developers on MSN
I run local LLMs in one of the world's priciest energy markets, and I can barely tell
They really don't cost as much as you think to run.
Abstract: Cognitive load assessment through electroencephalography (EEG) signals represents a crucial research frontier in brain–computer interface (BCI) development. To systematically investigate the ...
Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub ...
Overview: Generative AI is rapidly becoming one of the most valuable skill domains across industries, reshaping how professionals build products, create content ...
Studies were included if they focused on the development and application of LLMs within health care using PHI, encompassing activities such as model construction, fine-tuning, optimization, testing, ...
Abstract: In LiDAR-based 3D object detection, severe occlusion often leads to incomplete object shape in point cloud scene. It is a critical challenge as it will significantly degrade detection ...
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