generative-models

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.