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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.
"The biggest challenge we have—which is true of any AI/ML project, but is especially so in clinical contexts—is how do we label [training] data? Our labelers are physicians and researchers, …
“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.”
“Enterprises’ rapid success with Snorkel Flow is a testament to the power of a new, data-centric approach, which has the potential to democratize AI across the enterprise."
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