The Future of Supply Chain: a Dynamo Ventures Podcast cover image

Stop Chasing Shiny Objects-Make AI Work for You with Pedro Neto of HP

The Future of Supply Chain: a Dynamo Ventures Podcast

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Navigating Model Drift and Ensuring Reliable AI Evaluations

This chapter explores the challenges of model drift and data outages in AI systems, stressing the need for robust evaluations to maintain model accuracy. The discussion advocates for simple analytical methods and emphasizes the importance of repeatability in model evaluations for ongoing improvement.

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