Workflow Testing Strategies
Chris and Daniel discuss the integration of testing into AI workflows, emphasizing the importance of defining minimum functionality tests for software release. Daniel highlights the need for systematic improvement in model performance without regression, suggesting that each workflow step should be encapsulated in functions or classes with corresponding tests. This approach aligns closely with core data science principles.In this clip
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Practical AI
Creating tested, reliable AI applications
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