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Generative AI is a generic term used to define algorithms
and models that can generate "new" content based on their
input data during the time of training. At its core, the
ability of any generative AI to create data that is similar
or indistinguishable from the real-world data it had been
trained on describes the generative AI. This generative
procedure uses very complex mathematical and statistical
principles to first model data distributions and then
sample from these learned distributions to produce an
example.
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