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    Data-centric AI doesn’t just stop with cleaning and preparing data for model training – there are rich insights to be gleaned from production data. By analyzing, segmenting, and selectively re-labeling your production inference data, you can generate datasets for future model retraining. This talk will show you how you can use human-in-the-loop oversight to generate high-quality, labeled datasets using Label Studio from your prediction data for future model retraining.

    Link to GitHub repo: