Summary:
- This article discusses how Amazon Web Services (AWS) used machine learning and multi-agent workflows to scale their content review operations.
- The article explains how AWS developed a system that automatically routes content to the appropriate human reviewers, improving efficiency and reducing manual effort.
- The article also highlights how the use of machine learning models helped identify and prioritize the most important content for review, ensuring that critical issues are addressed quickly.