The process in which a machine learning model is given a set of data to learn defined patterns from.
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- An example of training is: during the process of creating the Stable Diffusion model, it viewed the images and text readily available to it on the open internet. It used tags in the web URL/address to associate that tag with what the image or text on the page was in order to create pattern categorization.