Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

As enterprises scale initiatives, the cost of developing, deploying and operating generative artificial intelligence models rises significantly. The shift toward AI agents can further increase costs ...

Amazon Web Services Inc. today introduced an artificial intelligence tool designed to help organizations lower their cloud bills. AWS FinOps Agent is initially available in public preview. It’s the ...

Windows 11 Pro includes built-in tools that help balance speed, efficiency, and battery life on today's hardware. When you purchase through links on our site, we may earn an affiliate commission. Here ...

Most skill development relies on reading the skill to judge its quality. This doesn't work. The companion SkillLens paper (arXiv 2605.23899) shows that LLM judges are 46.4% worse than chance at ...

Are you happy? It’s a deceptively simple question, but for me, at least, a difficult one to answer. Another tough question: Why is it so hard to be happy for so many? Despite a culture full of ...

Enterprise AI agents are stalling — not because of model performance, but because of permissioning. Every agentic workflow eventually hits the same wall: what is this agent allowed to touch, on whose ...

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...