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A New Kind of AI Model Lets Data Owners Take Control
A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.
“The training is completely asynchronous,” says Sewon Min, a research scientist at Ai2 who led the technical work. The FlexOlmo model architecture is what’s known as a “mixture of experts,” a popular design that is normally used to simultaneously combine several sub-models into a bigger, more capable one. To test the approach, the FlexOlmo researchers created a dataset they call Flexmix from proprietary sources including books and websites.
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