machine-learning
generative-models
Models that can generate new data instances similar to the training data.
Expanded definition
Generative models learn to capture the underlying distribution of a dataset to create new instances that are indistinguishable from real data. They are extensively used in tasks like image generation, text synthesis, and more. A common misconception is that all generative models produce high-quality outputs; in practice, quality can vary significantly based on model architecture and training data diversity.
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