As the counterpart to "real-time" prediction, offline prediction refers to a scenario where the model faces no strict time constraints on how quickly it must return results. A typical example is indexing a user’s photo library for search purposes. This task can be deferred to periods when the user is asleep or the device is otherwise idle, allowing it to be executed without impacting real-time operations.
