ConceptData-Centric AI
Data-Centric
An AI engineering paradigm that emphasizes systematically improving data quality rather than adjusting model architecture, including finding annotation errors, supplementing edge cases, and balancing data distributions.
Timeline (last 90 days)
Oct 30
"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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