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Learn how the Visual Studio Code and GitHub Copilot teams evaluate, test, and deploy AI models in this 18-minute technical talk. Discover the comprehensive process behind shipping the right AI model for each specific task, including detailed methodologies for assessing model quality and performance. Explore the decision-making frameworks used to determine when model updates should be rolled out to users, balancing the need for enhanced capabilities with system reliability and stability. Gain insights into the testing protocols, evaluation metrics, and quality assurance processes that ensure AI models meet production standards before deployment. Understand how development teams navigate the complex trade-offs between introducing new AI features and maintaining consistent user experience across different development environments.
