Data-Centric AI

Data-centric AI emphasizes the importance of curating and developing high-quality data to build better ML models and AI applications.

Data-centric AI stands in contrast to model-centric AI. This approach often treats data as a static artifact and adjusts model performance by optimizing model architectures and training parameters.

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Data-centric Foundation Model Development: Bridging the gap between foundation models and enterprise AI

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Data-centric AI: A complete primer

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Tips for using a data-centric AI approach

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