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"Data-Centric AI" is an important paradigm shift in AI engineering in recent years, emphasizing systematic improvement of data quality (such as finding labeling errors, supplementing edge cases, and balancing data distributions) rather than merely adjusting model architecture or increasing data volume.
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10/30/2026
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