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"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, their time is very expensive.”
“It took me a long time to build the Regex model [outside of Snorkel Flow]; I read hundreds, thousands of pathology reports to make it work. Whereas [with Snorkel Flow] it was a few hours to get to the results we achieved—a pretty dramatic difference.”
Scale accelerates the development of AI applications by helping computer vision teams generate high-quality ground truth data. Their advanced LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics …
Labelbox is the simplest platform to train and operate machine intelligence. Labelbox solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In …
Surge AI is the world's most powerful data labeling and RLHF platform. They're a team of engineers and researchers from Google, Meta, Stanford, Harvard, and MIT. They're building the modern …
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