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 – ...
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
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 ...
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New Platform Challenges AI Industry Hype, Advocates for Embodied Intelligence Over Language Models
Emerging Voice in Tech Analysis Questions Trillion-Dollar AI Valuations and Points to Robotics as True Future of Artificial Intelligence The real value of AI will come from the systems we build around ...
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 ...
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 ...
Move over large language models — the new frontier in AI is world models that can understand and simulate reality. Why it matters: Models that can navigate the way the world works are key to creating ...
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 ...
The original version of this story appeared in Quanta Magazine. Two years ago, in a project called the Beyond the Imitation Game benchmark, or BIG-bench, 450 researchers compiled a list of 204 tasks ...
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