Forbes contributors publish independent expert analyses and insights. Craig S. Smith, Eye on AI host and former NYT writer, covers AI. GPT-4, PaLM, Claude, Bard, LaMDA, LLaMA, Chinchilla, Sparrow – ...

Overview: Modern Large Language Models are faster and more efficient thanks to open-source innovation.GitHub repositories remain the main hub for building, test ...

A duplex speech-to-speech model changes the premise: The intelligence layer consumes audio and produces audio directly. The model can attend to what was said and how it was said—content and delivery ...

How many AI models is too many? It depends on how you look at it, but 10 a week is probably a bit much. That’s roughly how many we’ve seen roll out in the last few days, and it’s increasingly hard to ...

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 ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models. Two years ago, Yuri Burda and Harri ...

Scoping review finds large language models can support glaucoma education and decision support, but accuracy and multimodal limits persist.

What movie do these emojis describe? That prompt was one of 204 tasks chosen last year to test the ability of various large language models (LLMs) — the computational engines behind AI chatbots such ...

It is 20XX. Col. Luddite was upset with Maj. Turing. The kid had once again brought him facts, figures, and math which contradicted what the old warrior knew to be true: It was time to press the ...