Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Savvy developers are realizing the advantages of writing explicit, consistent, well-documented code that agents easily understand. Boring makes agents more reliable.

Alarm bells are ringing in the open source community, but commercial licensing is also at risk Earlier this week, Dan ...

Are AGENTS.md files actually helping your AI coding agents, or are they making them stupider? We dive into new research from ETH Zurich, real-world experiments, and security risks to find the truth ...

It is impossible for most industries to escape calls for AI augmentation, and cyber security is no exception. Yet some voices in the security community ...

Claude Sonnet 4.6 beats Opus in agentic tasks, adds 1 million context, and excels in finance and automation, all at one-fifth the cost.

An analysis of LLM referral traffic shows low volume, rapid growth, shifting citations, and an 18% conversion rate.

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The Workplace Relations Commission ordered Cork Fire Brigade to pay €4,000 for gender discrimination and a further €4,000 for age discrimination to Terézia Foott The "beep test", a standard aerobic ...