GPT (Generative Pre-trained Transformer)
Models & ArchitectureA family of large language models created by OpenAI that can generate human-like text, answer questions, write code, and much more.
Think of GPT like a series of increasingly powerful calculators -- except instead of crunching numbers, they crunch language. Each new version (GPT-3, GPT-4) is like upgrading from a basic calculator to a scientific calculator to a graphing calculator.
GPT stands for Generative Pre-trained Transformer, which tells you a lot about how it works. "Generative" means it creates new text. "Pre-trained" means it learned from a massive dataset before being made available to users. And "Transformer" refers to the neural network architecture it is built on.
OpenAI released the first GPT model in 2018, and each new version has been dramatically more capable. GPT-2 could write short paragraphs. GPT-3 could write full essays and even basic code. GPT-4 raised the bar again with much better reasoning, accuracy, and the ability to understand images. Each upgrade came from making the model larger (more parameters) and training it on more data.
GPT is the engine behind ChatGPT, one of the fastest-growing apps in history. When you chat with ChatGPT, your messages are sent to a GPT model that processes your input and generates a response. OpenAI also offers GPT through an API, which lets other companies and developers build their own products on top of it -- everything from customer service bots to writing assistants to coding tools.
While GPT is the most well-known LLM family, it is not the only one. Anthropic's Claude, Google's Gemini, and Meta's LLaMA are all competing alternatives. The term "GPT" is sometimes used loosely to refer to any chatbot AI, but technically it only refers to OpenAI's specific models.
Real-World Examples
- *ChatGPT using GPT-4 to hold conversations and answer questions
- *Microsoft Copilot integrating GPT into Word, Excel, and other Office apps
- *Thousands of apps using the GPT API to add AI-powered text features