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Becoming an AI Evangelist // Alex Volkov // #215

MLOps.community

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Navigating the Complexities of Model Evaluation in MLOps

The chapter explores the challenges and nuances of evaluating AI models, emphasizing the importance of comprehensive assessments across different tasks. It delves into the methods of validation, including the innovative concept of 'vibe check' evaluations and the continuous learning process within ML teams. Discussions revolve around evaluating model accuracy, toxicity, user feedback, and the trade-offs involved in designing efficient AI systems.

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