Navigating AI Monitoring Challenges

This chapter explores the complexities of monitoring AI systems, especially those using large language models that produce variable outputs. It addresses the struggles developers face with traditional monitoring tools, particularly in sensitive applications like therapy, and the increasing frustration over protective measures impacting output quality. Additionally, it highlights the innovations needed to improve responsiveness and performance measurement in AI systems, while discussing the challenges Fortune 1000 companies encounter in integrating AI technologies.