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  • Deep Dive into Building Recommender Systems

    Discover the key ideas behind how recommender systems learn, adapt, and influence everyday choices, shaping more meaningful and relevant user experiences.

  • Build Static Recommenders That Actually Work

    Explore static model workflows to build a simple recommender system with hands-on guidance in Jupyter Notebooks and the ecosystem.Ai Workbench.

  • Understanding Behavioral Design for AI Systems

    Discover how behavioral design principles embedded in AI platforms enable personalized, real-time customer journeys and optimize engagement at scale.