Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and automation, but our experience shows they are not yet suited for the specific, high-stakes ...

Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...

LLMs have delivered real gains, but their momentum masks an uncomfortable truth: More data, more chips and bigger context windows don’t fix what these systems lack—persistent memory, grounded ...

Give a large language model broad access to data and it becomes the perfect insider threat, operating at machine speed and without human judgment. Large language models (LLMs) have quickly evolved ...

Why do people make the choices they do? Researchers from the Center Synergy of Systems (SynoSys) at TUD Dresden University of ...

Hallucinations in LLMs: Why they happen, how to detect them and what you can do. As large language models (LLMs) like ChatGPT, Claude, Gemini and open source alternatives become integral to modern ...

Large Language Models (LLMs) have taken the world by storm since the 2017 Transformers paper, but pushing them to the edge has proved problematic. Just this year, Google had to revise its plans to ...

Large language models, a form of artificial intelligence, are generating a lot of hype in healthcare circles, primarily because of their potential to transform and improve various aspects of ...

Chatbots are far more predictable in their responses than you might expect. That's fine for research or coding, but it's a ...

Large language models (LLMs) like ChatGPT and Claude are best known for their writing abilities, drafting ad copy, summarizing reports, and helping brainstorm blog content. However, most marketers ...