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 ...

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

It’s not news that AI models will lie. By now most of us have experienced AI hallucinations, or the model confidently giving ...

Google researchers unveil VaultGemma, an LLM designed to generate high-quality outputs without memorizing training data. Here's how it works.

Combining data with next-generation connectivity and emerging technologies can boost productivity, improve citizens' health and wellbeing, and enhance public services.

There are a lot of folks in the community saying that implementing structured data / schema on your pages will help you with ...

Breaking Through the Limitations of Surface Expression Many users tend to directly copy and paste the output results when using AI-generated content, which undoubtedly contributes to the high AIGC ...

We're about to get a heavy helping of MCP from the keynote stage, as fuel for the agentic AI buzz. But why MCP? Why is ...

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

As cloud adoption accelerates and systems grow more complex, traditional testing and monitoring approaches are no longer a match to preventing outages. Enterprises face increased pressure to ensure ...

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.