When writing becomes too optimized through AI generation, the words lose the power behind the author’s struggle.

Large language models (LLMs) could help health researchers analyse large qualitative datasets more efficiently, but they should be treated as a secondary analytic lens rather than a substitute for ...

We need more empirical studies about the impact of generative AI on our mental health. I dissect one recent study to show ...

A symposium at Stanford focused on AI for mental health and brought together key stakeholders. An AI Insider analysis and ...

AI-generated portfolios were concentrated in mega-cap tech stocks, with recommendations based more on the volume of media coverage than fundamental analysis, according to a new research paper.

Local LLMs degrade fast when context fills up. An embedding model and RAG pipeline fixes that — and runs entirely on your ...

Small but not useless ...

A Brandenburg high school graduate trained a language model translating complex content into Easy Language. He won a special AI award for "Jacob".

Though large language models remain popular, IT decision-makers are increasingly trying out smaller, open models that may be a better fit for enterprise AI needs.

Imagine working at a warehouse or office sometime in the near future, and you're asked to help a new trainee learn the basics ...

Content creators and IP holders are getting creative in order to fight back against the LLMs that are trawling their data ...

Large language models are already finding their way into security operations, from summarizing Defender alerts to drafting incident response updates. But for IT teams, the harder question is not ...