Autoregressive Model

Autoregressive models estimate each next output based on previous context. Many language models generate text token by token this way, while similar techniques are also used in forecasting, audio generation, and other sequential prediction tasks. Understanding it helps teams improve output quality, manage latency and cost, and decide how much information or control should sit outside the model itself.