Data-centric AI is an AI research and development paradigm, as opposed to a model-centric development model, which takes data quality, data processing, and data iterative optimization as the core of AI system optimization. By continuously improving datasets, model performance and generalization ability are improved, reducing dependence on complex model tuning.
