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.

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 ...

This story was updated to add new information. LinkedIn user data is being used to train artificial intelligence models, leading some social media users to call out the company for opting members in ...

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

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, ...

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 ...

AI promises a smarter, faster, more efficient future, but beneath that optimism lies a quiet problem that’s getting worse: the data itself. We talk a lot about algorithms, but not enough about the ...

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 ...

Large language models (LLMs) are deep learning artificial intelligence programs, like OpenAI’s ChatGPT. The capabilities of LLMs have developed into quite a wide range, from writing fluent essays, ...

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 ...