When designing a multi-stage ML pipeline, how do you handle the trade-off between optimizing each component independently versus end-to-end optimization?

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The choice between component-wise and end-to-end optimization involves significant trade-offs that depend on system requirements. Component-wise optimization offers several advantages. Each component has clear metrics and ownership, making debugging and iteration faster.