What Are GPT Models?

GPT stands for Generative Pretrained Transformer . Each part of this name tells you something important.

Generative: The model creates things. Here, that means writing new text—sentences, paragraphs, or full articles—rather than just classifying or picking existing text.

Pretrained: The model is first trained very broadly, reading huge amounts of text (like books and websites). Only after that is it fine-tuned for specific tasks.

Transformer: This is a type of neural network introduced in 2017. Unlike older models that read text bit by bit, transformers can look at all the words in a sentence at once, capturing more context at once.

A GPT model reads massive datasets, spots patterns in how words appear together, and uses those patterns to generate text that sounds natural—sometimes uncannily so.

The Core Idea Behind GPT

Think of a fill-in-the-blank game:

"The cat sat on the ___."

You might guess "mat," using your intuition for what fits.

GPT models, during training, play this…