Researchers have found that introducing human-made data into AI training can help to prevent AI model collapse.

As chief data officer for the Cybersecurity and Infrastructure Security Agency, Preston Werntz has made it his business to understand bias in the datasets that fuel artificial intelligence systems.

VentureBeat and other experts have argued that open-source large language models (LLMs) may have a more powerful impact on generative AI in the enterprise. More powerful, that is, than closed models, ...

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

When most people hear “observability,” they think of on-call rotations, alerts and dashboards for SREs. That narrow view is changing. Over the past few years, observability tools and the practices ...

AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology ...

Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and useful AI outputs.

From boardroom bedlam to courtroom drama, Sam Altman has had a tumultuous three months. In December, the New York Times filed a federal lawsuit against OpenAI, alleging that the company infringed on ...

In 1978, LEGO introduced a brand new line of construction sets branded LEGO Space. The sets in the series included parts and features built for science fiction adventure and were among the first to ...