Until now, progress in AI had relied on bigger and better training runs, with more data and more computer power creating more intelligence. But once a model was trained, it was hard to use extra ...

Move over ChatGPT and DALL-E: Spreadsheet data is getting its own foundation machine learning model, allowing users to immediately make inferences about new data points for data sets with up to 10,000 ...

Ideally, the Pentagon’s new approach to safeguarding secrets—continuous monitoring to make sure insiders can't access data they ... the BPMN diagram into a UML model and used Object Constraint ...

Synthetic training data, or training data generated by other models, has helped drive costs down. Palmyra X 004, a model recently released by AI company Writer, trained almost entirely on ...

In contrast to other model libraries, this library is not tied to any specific database backend, instead every model can contain custom logic for accessing different databases, e.g. for a different ...

“Without proper implementation of data management controls, some level of the pipeline that feeds an analytical data model can be rendered unreliable,” Risher cautioned. “If we are basing strategic, ...