Autoregressive Models

Autoregressive models generate data sequentially, predicting each next value based on previous values. Examples of autoregressive generative models include PixelRNN, PixelCNN for image generation, and GPT (Generative Pre-trained Transformer) for text generation.

These models are particularly effective in sequential data generation, making them widely used in applications like speech synthesis, text-based AI interactions, and progressive image refinement. Their ability to generate contextually coherent data makes them essential in AI-driven content creation.