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Inside Uber’s AI Revolution - Everything about how they use AI/ML

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Navigating Machine Learning Management

This chapter explores the intricacies of managing machine learning models, especially the challenges associated with predictive and generative models in the Michelangelo system. It emphasizes the need for enhanced infrastructure and tools to optimize model performance, including the development of an 'agent studio' that streamlines the lifecycle of AI agents. The discussion also highlights the importance of secure protocols and the creation of repositories to enhance prompt engineering and agent building within Uber's AI initiatives.

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