When venturing into the world of language models, it’s tempting to think that the bigger the model, the better it will perform. This notion is rooted in the belief that more data and more parameters ...
Why have language models become so impressive? Many people say that it's the size of the models. The large in 'large language models' has been thought to be key to the models' success: as the number ...
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 ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I closely explore the rapidly emerging ...
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 – ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results