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Manual data curation involves domain experts checking, annotating, removing, or correcting training data one by one, and it is regarded in industry as the most reliable means of ensuring data quality, but its cost is extremely high: a senior process engineer may need several weeks to complete manual cleaning of a small dataset, and it is difficult to cover continuously generated new data.
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10/15/2026
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