Context is the information, metadata, or prior state that helps define the circumstances of an AI process or interaction. In machine learning workflows, a context can also group related artifacts and executions under a shared run, experiment, or operational category.
A context is used to group artifacts and executions together under a single, queryable, and typed category. Contexts can be used to represent sets of metadata. An example of a Context would be a run of a machine learning pipeline.