Generative modeling is a branch of machine learning where algorithms learn patterns from existing data to create new, original content—such as images, text, or audio—that mimics the source. Used in AI art, synthetic data creation, and drug discovery, it benefits designers, researchers, and developers by accelerating innovation and solving data-scarcity problems.
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