Data-centric AI is an approach to creating AI systems where, instead of tweaking hyperparameters of ML models, you focus on improving your data quality.
In model-centric AI, the focus is on improving the model and trying to get the best possible performance out of the fixed data set. In contrast, in data-centric AI, the focus is on improving data quality and aiming for an in-depth understanding of small datasets.
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