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 ...

There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although there’s scant ...

Turning my old GPU into an LLM-hosting behemoth was the best decision ever ...

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.

I stopped upgrading models and fixed my prompting instead.

The AI research community continues to find new ways to improve large language models (LLMs), the latest being a new architecture introduced by scientists at Meta and the University of Washington.

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 ...

Imagine trying to teach a child how to solve a tricky math problem. You might start by showing them examples, guiding them step by step, and encouraging them to think critically about their approach.

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 ...