ChatGPT works by utilizing a technique called transfer learning, where it leverages knowledge from vast amounts of text data to understand and generate human-like responses. The model is pre-trained on diverse datasets sourced from the internet, encompassing a wide range of topics and languages. This pre-training phase enables ChatGPT to learn general language patterns, grammar rules, and context understanding.
When a user interacts with ChatGPT, they provide text input, such as a question or a prompt.
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