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Improving AI Data Quality

Many AI limitations, such as poor generalization and distribution shift, are rooted in data quality issues rather than model architecture. Improving data quality is crucial for addressing these limitations. Poor data quality hampers AI progress, affecting generalization, reliability, and reproducibility.

Computing & Technology, Computer Science, Machine Learning