AI and Crowdsourcing: Using Human-in-the-Loop Labelingby@dustalov
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AI and Crowdsourcing: Using Human-in-the-Loop Labeling

by Dmitry Ustalov4mMarch 25th, 2022
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AI today rests on three pillars – ML algorithms, the hardware on which they’re run, and the data for training and testing the models. But obtaining high-quality up-to-date data at scale remains a challenge. One of the ways to resolve this is to adopt the data-centric approach to data labeling that entails building human-in-the-loop pipelines, i.e. hybrid pipelines that include both machine and human efforts. Crowdsourcing is an online activity where individuals perform tasks assigned on a platform that’s becoming more popular.

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Dmitry Ustalov

Dmitry Ustalov

@dustalov

Ph.D. in Natural Language Processing | Head of Ecosystem Development at Toloka.ai

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Dmitry Ustalov@dustalov
Ph.D. in Natural Language Processing | Head of Ecosystem Development at Toloka.ai

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