How do you balance model complexity against system maintainability in large-scale ML systems? Describe your framework for making this trade-off.

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Model complexity versus maintainability is one of the most important trade-offs in production ML. I use a structured framework to navigate this. First, I quantify the marginal benefit of complexity.