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ChatGPT's name ends in three letters that hint at how it works—it first studied enormous amounts of text, then builds answers on a special kind of neural network.
GPT stands for Generative Pre-trained Transformer: "generative" means it produces new text rather than just classifying existing text, "pre-trained" means it first learned general language patterns from massive data before fine-tuning, and "Transformer" refers to the neural network architecture, built around an attention mechanism, that made large-scale language modeling practical.
"General Purpose Technology" and "Global Personal Tool" fit the letters G, P, and T, but neither reflects the actual meaning behind the acronym, which points to the model's generative nature, training method, and architecture.
The Transformer architecture underlying GPT was introduced just a few years before ChatGPT's release, and has since become the foundation for the vast majority of major language models, not just OpenAI's.
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