Foundation models—AI systems trained on expansive datasets that can perform a wide range of tasks—and large language models—a subset of foundation models capable of processing and generating humanlike ...

I stopped upgrading models and fixed my prompting instead.

Modern large language models (LLMs) push automation and quality boundaries in business operations by converting natural language into text, insights and code. They help employees free up more time and ...

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.

Large language models (LLMs) are the workhorses of AI, supporting ever more sophisticated capabilities and workflows, and approaching near-human level performance. But sometimes more isn’t always ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Large language models, or LLMs, underpin that state and local ...

This piece was originally published on David Crawshaw's blog and is reproduced here with permission. This article is a summary of my personal experiences with using generative models while programming ...

In January, assumptions around AI were shaken up by DeepSeek, a small Chinese company that nobody had heard of. This week it was Switzerland’s turn to stir things up. Apertus (Latin for ‘open’) is a ...

Swapping large language models (LLMs) is supposed to be easy, isn’t it? After all, if they all speak “natural language,” switching from GPT-4o to Claude or Gemini should be as simple as changing an ...

As artificial intelligence becomes more advanced, large language models (LLMs) AI systems that can distill waves of data to create meaningful outputs for the user will become the foundation of future ...