Larger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.

For decades, scientists have worked to understand how the brain turns thoughts into words and words into meaning. Language is ...

Guo-Xing Miao, Professor at the University of Waterloo, guides us through programmable iontronic neural networks ...

Discover the differences between Mac Studio M3 Ultra and M2 Ultra, from performance benchmarks to cost efficiency and upgrade ...

Bioprocessors could give us the tools to achieve AGI far sooner than anyone expected, but this leap comes with risks that we ...

AI assistants and LLMs can have different names. For instance, GPT is OpenAI’s large language model and ChatGPT is the AI ...

AI is consuming more energy than ever, with data centers struggling to keep up with demand. A breakthrough training method ...

Researchers have developed a computational framework that maps how the brain processes speech during real-world conversations ...

Alibaba developed QwQ-32B through two training sessions. The first session focused on teaching the model math and coding ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

Scientists at the Okinawa Institute of Science and Technology (OIST), the National Institute of Information and ...

Google's second generation of its AI mathematics system combines a language model with a symbolic engine to solve complex geometry problems better than International Mathematical Olympiad (IMO) gold ...