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 ...

In recent years, Artificial Intelligence has undergone a major transformation with the global emergence and rapid diffusion of Large Language Models (LLMs).

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

Researchers have introduced a technique for compressing a large language model's reams of data, which could increase privacy, save energy and lower costs. The new algorithm works by trimming ...

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 ...

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 ...

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 ...