The human brain processes spoken language in a step-by-step sequence that closely matches how large language models transform ...

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

A new study reveals that the human brain processes spoken language in a sequence that closely mirrors the layered ...

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...

Large language models have become the public face of artificial intelligence, but a growing group of researchers and practitioners argue that these systems are nowhere near genuine understanding.

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

Sam Mugel, Ph.D., is the CTO of Multiverse Computing, a global leader in developing value-driven quantum solutions for businesses. Large language models like ChatGPT have revolutionized content ...

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Apart from the northward advance of killer bees in the 1980s, nothing has struck as much fear into the hearts of headline writers as the ascent of artificial intelligence. Ever since the computer Deep ...

The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...