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Building AI Data Responsibly with Edouard d’Archimbaud - ML 081

Adventures in Machine Learning

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How Does the Labeler and the Model Work Together?

Kelly: Labeling is all about collaboration. So we make data labeling, model training, whether testing concurrent activities so that there are more interactions between the laborers and the machine engineering engineer. The way it works is super simple. It's designed to have on one side, the laborers, so labeling on the, on the images or on the documents,. And on the other side, you have this API where the machine engineering engineers can plug the models, collect the already labeled data, tighten the model, and push, push, play labeling for the laborers. Kelly: A huge revolution in the software industry 20 years ago was agile.

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