Control how AI bots access your site, structure content for extraction, and improve your chances of being cited in ...

Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...

Gartner predicted traditional search volume will drop 25% this year as users shift to AI-powered answer engines. Google’s AI Overviews now reach more than 2 billion monthly users, ChatGPT serves 800 ...

Abstract: Optimization algorithms are widely employed to tackle complex problems, but designing them manually is often labor-intensive and requires significant expertise. Global placement is a ...

When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs — but memory is an increasingly important part of the picture. As hyperscalers prepare to build out billions ...

According to God of Prompt (@godofprompt), a recent paper demonstrates that AI model performance can be significantly improved by implementing a more efficient cache mechanism. This innovative ...

Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways. ...

What makes a company spend $2 billion on a “wrapper”? That’s the question many are asking after Meta’s recent acquisition of Manus, a startup known for its innovative approach to AI workflows. Below, ...

NVIDIA introduces NVFP4 KV cache, optimizing inference by reducing memory footprint and compute cost, enhancing performance on Blackwell GPUs with minimal accuracy loss. In a significant development ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...