Transformer Model is the architecture that powers large language models like GPT — it spots patterns in text and uses them to predict what comes next.
It was introduced in a 2017 paper called “Attention Is All You Need,” and it really changed the AI game. Unlike older models that read text word-by-word, transformers take in a full sentence or paragraph at once, and use something called “attention” to figure out which words matter most in context. That lets them generate text that flows like human speech — even if there’s no real thinking behind it.
In practice, it’s like an ultra-speed reader that’s seen billions of books, blogs, and tweets, and now tries to write its own by guessing what “should” come next based on probability. When ChatGPT writes something, it’s not reasoning — it’s predicting, word by word, based on patterns.
For the technical deep dive, check out: “Attention Is All You Need” (arXiv)
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