In the context of Active Learning, what does "Suppress Duplicates" setting usually aim to achieve?

The setting "Suppress Duplicates" in the context of Active Learning primarily aims to optimize the efficiency and speed of the data review process. By suppressing duplicate documents, the system ensures that reviewers are not presented with the same content multiple times. This helps streamline the review workflow, allowing teams to focus on unique documents and quickly address production use cases.

In many scenarios, efficiency is critical, especially when dealing with large datasets. By reducing redundancy, the system can assist in accelerating time-to-delivery while ensuring that all distinct content is adequately reviewed. Consequently, this setting contributes significantly to the responsiveness of the project in a production environment, aligning with the goal of rapid and effective data processing.