When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

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 ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

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 ...

Ryan Austin is Founder and CEO of Cognota. You can attend free virtual workshops to learn how to run L&D like a business. Learning operations (LearnOps) is a growing trend in the talent and learning ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Sometimes the best way to solve a complex problem is to take a page from a children’s book. That’s the lesson Microsoft researchers learned by figuring out how to pack more punch into a much smaller ...

What if you could predict a company’s financial future with precision, make data-driven decisions, and impress stakeholders, all using one tool? Excel, often underestimated as a simple spreadsheet ...