NAVIGATION
Definition

Autoregressive Model

An Autoregressive Model is an AI model that predicts future values in a sequence based on past values. In LLMs, autoregressive generation works by taking the prompt, predicting the next word, appending that word to the prompt, and repeating the process.

Frequently Asked Questions

How does autoregressive decoding work?

The model outputs one token at a time. Each new token depends on all the tokens that came before it.

What are the alternatives to autoregressive generation?

Non-autoregressive generation outputs the entire sequence at once, which is faster but often has lower quality.

Quick Facts

  • CategoryFoundational AI
  • Key ApplicationText generation, weather forecasting, and stock price prediction

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