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Intermediate · Generative AI

Auto-regressive model

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TL;DR. A model that predicts future outputs based on its own past predictions, commonly used in language models to generate sequences.

Technical Definition

A model that predicts future outputs based on its own past predictions, commonly used in language models to generate sequences.

How it works

An auto-regressive model generates a sequence of outputs where each prediction is dependent on the previously generated predictions. Language models like Transformers are typically auto-regressive, predicting the next word based on the preceding words. This sequential dependency allows them to generate coherent and contextually relevant text.

Related Concepts

  • Generative AI — An AI field focused on creating models that can generate novel and complex content, such as text, images, audio, and video, that is coherent and original.

Further Reading

  • Google ML Glossary