Model in the Loop Data Curation
Scale Nucleus was developed to help ML teams debug their models by debugging their datasets. In this talk, we walk through some of the latest updates and discuss how Nucleus enables you to diagnose model failure cases, to then prioritize what data should be labeled next to improve model performance. We will then walk through a demo of how you can use models to debug data, and data to debug models for model-in-the-loop data curation.
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