How do transformers understand data and answer custom questions? 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?
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 &quot;complicated&quot;).