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Explore the evolution from traditional machine learning development to AI agent building in this 13-minute conference talk from the AI Agent Builders Summit. Learn about the fundamental differences between machine learning and agent development lifecycles, and discover the five essential components that any platform requires to build AI agents effectively. Examine the newly released MLflow 3.0 features that were unveiled at the Databricks Data and AI Summit in June, understanding how these updates position MLflow as a comprehensive platform for the future of AI agent development.
