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Devang Sachdev, Snorkel AI: On easing the laborious process of labelling data
Sept. 30, 2022, 7:52 a.m. | Ryan Daws
Correctly labelling training data for AI models is vital to avoid serious problems, as is using sufficiently large datasets. However, manually labelling massive amounts of data is time-consuming and laborious. Using pre-labelled datasets can be problematic, as evidenced by MIT having to pull its 80 Million Tiny Images datasets. For those unaware, the popular dataset... Read more »
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ai artificial intelligence data datasets development ethics & society labelling machine learning process snorkel ai training
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