A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

The following article is an excerpt (Chapter 3) from the book Hands-On Big Data Modeling by James Lee, Tao Wei, and Suresh Kumar Mukhiya published by our friends over at Packt. The article addresses ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Big data is less predictable than traditional data, and therefore requires special consideration when building models. Here are some things to keep in mind. Most projects benefit from having a data ...

Most projects benefit from having a data model. This article gives an overview of the most common types. TechRepublic Get the web's best business technology news, tutorials, reviews, trends, and ...