Language models seem to be more than stochastic parrots. Does this knowledge stop them from making mistakes, or do they need ...

1. Deep Semantic Reconstruction: Breaking Through the Limits of Surface Expression Many users tend to directly copy and paste the output results when using AI-generated content, which is a major ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

Like all full-fat Mercedes-AMGs, the A45 S has a ‘race start’ launch control system that requires you to use Race driving ...

AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used ...

When AI teams deliberately and carefully design their training datasets, they can actively reduce bias, mitigate risk and ...

DeepSeek says its R1 model did not learn by copying examples generated by other LLMs. Credit: David Talukdar/ZUMA via Alamy ...

A head-to-head schema experiment uncovers whether well-implemented structured data gives pages an edge in Google AI Overviews ...

As Meta unveils its powerful on-device reasoner, a wider industry trend emerges where small, specialized models are solving enterprise challenges around cost, privacy, and control.

What does it mean for a language model to “know” something—and how should it communicate uncertainty to the people who use it ...

The Call for Speakers is officially open for the 13th annual Data Summit, taking place in Boston on May 6-7, 2026, with pre-conference workshops on May 5. The deadline to submit proposals is December ...

Thinking like a developer, and leading with those same principles, can help organizations move faster, stay aligned and build ...