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I recently heard of GPT-3 and I don't understand how the attention models and transformers encoders and decoders work. I heard that GPT-3 can make a website from a description and write perfectly factual essays. How can it understand our world using algorithms and then recreate human-like content? How can it learn to understand a description and program in HTML?

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    $\begingroup$ It can't "understand" anything. It just matches patterns to something it encountered in the training data. $\endgroup$ – Oliver Mason May 7 at 16:00
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GPT-3 (and the likes) don't really have any understanding of the semantics nor pragmatics involved in the language. However, they are good at constructing text content similar to the contents created by a person (when the texts and the concepts are not too "complicated").

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  • $\begingroup$ But how do the different layers and math formulas work to create this type of intelligence? $\endgroup$ – DragonflyRobotics May 7 at 19:13
  • $\begingroup$ There are many questions regarding this issue on this platform, though I wouldn't call it "intelligence". Attention is all you need.... $\endgroup$ – Raul Alvarez May 7 at 20:18
  • $\begingroup$ So then what is "Attention". I simply want to understand the working principle of GPT-3 $\endgroup$ – DragonflyRobotics May 7 at 21:10

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