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15.3 GPT Architecture

GPT (Generative Pre-trained Transformer) is a 'decoder-only' Transformer. It is trained on a simple but powerful objective: given a stretch of text, predict the next token. By repeating this prediction over and over, GPT generates fluent text one token at a time, feeding each new token back in as context.

promptAI
GPT predicts the next token, then feeds it back to continue generating.

Think of how your phone keyboard suggests the next word when you type 'I am going to...'. GPT does the same thing but at a vastly larger scale, having read enormous amounts of text. That is why it can draft an email in Amharic or explain a recipe — it is predicting plausible continuations.

Scenario

You want a model to generate a story continuation from a prompt. Which design fits best?

Check your understanding

1/4 · 40 XP

What is GPT's core training objective?