Quanta Magazine

How ‘Embeddings’ Encode What Words Mean — Sort Of

A picture may be worth a thousand words, but how many numbers is a word worth? The question may sound silly, but it happens to be the foundation that underlies large language models, or LLMs — and ...
eLife

Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding in naturalistic listening designs

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.
VentureBeat

Researchers expose biases in datasets used to train AI models

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Artificial intelligence (AI) has a bias problem. Word embedding, a common ...
ascopubs.org

Explainable Tree-Based Predictions for Unplanned 30-Day Readmission of Patients With Cancer Using Clinical Embeddings

Thirty-day unplanned readmission is one of the key components in measuring quality in patient care. Risk of readmission in oncology patients may be associated with a wide variety of specific factors ...
Bloomberg L.P.

Using Phrases, Rather than Words, to Help Algorithms Derive Keywords & Summaries

It’s difficult enough for a computer to understand a simple sentence. So how do you train it to recognize even the most representative keywords of a document that might run 10 or 20 pages in length?