Autoregressive Generative Models

Autoregressive generative models are a type of statistical model used in machine learning to generate sequential data. It predicts new output based on the preceding output. The term “autoregressive” means they regress on their previous output to generate their future outputs. To put it in simple words, they check what has happened earlier in the sequence to predict the next steps. Transformer models are a type of autoregressive generative model. These models form the basis for NLP and other technologies. They generate high-quality and coherent output based on the sample data they learned.