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 ...

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.

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 ...

Look up any coding forum these days, and you’ll find at least a dozen posts about AI-aided programming tools, with most of them centered around Claude Code. Between its killer reasoning capabilities ...

Leaders and consultants are increasingly turning to large language models (LLMs) such as ChatGPT as silent partners in the boardroom. These tools promise to summarize complex information, produce ...

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 ...

Local AI works best when it sticks to its lane.

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 ...

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 ...