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The Importance of Custom Annotation in Machine Learning
With foundation models, the big thing that has changed is that you're no longer training individual task specific models. It's almost like this centralized training of one large model that makes use of a large amount of unlabeled data. And now customers can take this model and adapt it for their particular use case within a company by just using a very small amount of label data.