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.

Imagine this: you’re a data analyst juggling endless spreadsheets, generating reports, and distributing insights, all while trying to carve out time for strategic decision-making. Sound familiar? Here ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...