Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like “the” or “it”), whereas larger words may be represented by ...

Hypernym detection and discovery are fundamental tasks in natural language processing. The former task aims to identify all possible hypernyms of a given hyponym term, whereas the latter attempts to ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

What Is A Recurrent Neural Network (RNN)? Recurrent Neural Networks (RNNs) are artificial neural networks designed to handle sequential data like text, speech or financial records. Unlike traditional ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

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 ...

Learning English is no easy task, as countless students well know. But when the student is a computer, one approach works surprisingly well: Simply feed mountains of text from the internet to a giant ...