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Outcome School · Other AI topics18 min read

by Amit Shekhar · 13 May 2026

Autoregressive Models

Autoregressive Models, the family of models that generate one piece at a time by predicting the next step from the past.

3,532 words#ai#machine-learning4 recall cards

Autoregressive Models
Read on Outcome School ↗then come back to lock it in
Before you read, guess

What do the components of autoregressive models signify regarding their prediction method?

Ten seconds, a guess, then read — a wrong guess still makes the answer stick.

What this article covers

  1. What is an Autoregressive Model?
  2. The Chain Rule of Probability
  3. The Generation Loop
  4. Step-by-Step Numeric Example
  5. Why GPT-style Models are Autoregressive
  6. Why Autoregressive Models Need Causal Masking
  7. The Connection with KV Cache
  8. Autoregressive vs Non-Autoregressive Generation
  9. Popular Autoregressive Models we should know
  10. Pros and Cons of Autoregressive Models

The article lives on outcomeschool.com. Read it there, then come back: the tutor in the margin has read it and will answer questions, and the questions below check what stayed.

Before you go

In one sentence, what was this chapter about?

From memory, without scrolling up. Writing it is what makes it yours; the grade is only to show you what you had.

How sure?