An overview of MLOps as the process for building, deploying, and managing ML systems, distinguishing between predictive AI and generative AI. It then extensively details the unique challenges of implementing MLOps for generative AI, covering aspects like increased infrastructure needs, customization, managing new artifacts, specialized evaluation and monitoring, and integrating with enterprise data, often highlighting Vertex AI's solutions