Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
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.
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Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding
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 ...
As AI coding agents gain access to entire codebases, 0G delivers what centralized AI cannot — privacy enforced by code, ...
AWS Elemental Inference enables video customers to adapt video content into vertical formats optimized for mobile and social platforms in real time. Today’s viewers consume content differently than ...
AWS has announced AWS Elemental Inference, a fully managed AI service that automatically transforms and maximises live and on-demand video broadcasts to engage ...
Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most. Forest restoration, protected areas, wildlife corridors, and enforcement ...
Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...
Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of ...
Nota AI, an AI optimization technology company behind the Nota AI brand, announced that it has developed a next-generation quantization technology that significantly compresses the size of Solar, a ...
The company is touting its new AWS Elemental Inference, as a tool that will help broadcasters and streamers reach audiences ...
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