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Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying early versions of Snorkel Flow's core technology with some of the world’s leading organizations, to empowering scientists, doctors, and journalists, they’ve seen firsthand how this approach democratizes and accelerates AI. Now, they’re working to bring their technology to everyone.
“With Snorkel Flow, we applied data-centric workflows to distill knowledge from foundation models and build high-cardinality classification models with more than 90% accuracy in days.”
"With Snorkel Flow, we cut labeling time and significantly accelerated model development when delivering NLP solutions.”
“What would have taken us months to go through an iteration can happen in minutes now. Literally!”
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