+A **Generative Model** learns the underlying probability distribution of a dataset, allowing it to produce new, original examples that resemble the training data. Unlike a [Discriminative Model](/wiki/discriminative_model), which distinguishes between data points, a generative model aims to fully understand and replicate the data's structure, often employing [Neural Networks](/wiki/neural_network) in its process.
+## See also
+- [Deep Learning](/wiki/deep_learning)
+- [Machine Learning](/wiki/machine_learning)
+- [Probabilistic Model](/wiki/probabilistic_model)
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