
Programmatic data labeling that replaces manual annotation with code
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Snorkel AI grew out of the Stanford AI Lab and is built on programmatic labeling: teams write Python functions that encode domain knowledge, and the software labels data at scale. The platform combines the noisy labels from these functions into high-quality training sets for text, image and structured data, which is much faster than hand annotation. Large enterprises use it for custom models and expert data. It suits ML teams with lots of unlabeled data. A free option is listed.
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