Model Group

A Model Group refers to a collection of related machine learning models that are developed, managed, and optimized together. These models often work collaboratively or serve similar purposes, such as predicting customer behavior or analyzing images. Grouping models allows teams to streamline updates, monitor performance, and ensure consistency across applications. Think of it as a folder where different but related models are stored and managed collectively for easier oversight and improved results.