Instruction: Describe the strategies and tools used for hyperparameter tuning in complex and large-scale models.
Context: This question evaluates the candidate's ability to optimize machine learning models effectively, a critical skill for ensuring model performance and efficiency.
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The way I'd approach it in an interview is this: At large scale, I treat hyperparameter tuning as a budgeted search problem. I decide upfront which parameters are likely to matter most, what the evaluation metric is, and how much compute I am willing to spend. Then I use...