Whitepaper Companion Podcast - Operationalizing Generative AI on Vertex AI using MLOps

In this episode of "The Deep Dive," the hosts explore how to operationalize generative AI using MLOps, focusing on Vertex AI as a platform. They discuss a white paper that outlines the lifecycle of generative AI systems, emphasizing the importance of adapting foundation models rather than training from scratch. The conversation covers key phases such as discovery, development, evaluation, deployment, and governance, highlighting the unique challenges and considerations for each. They delve into prompt engineering, chaining AI components, tuning models, data practices, and the emerging field of AgentOps, emphasizing the need for robust monitoring, governance, and collaboration across different roles. The hosts also touch on Vertex AI's capabilities in providing tools and infrastructure for building and managing generative AI applications.