ChatGPT generates text without personal experience by relying on patterns learned from vast amounts of text data. It uses a neural network model called a transformer that predicts the next word based on the context of previous words. The model has been trained to understand language structure, grammar, and common phrases, which enables it to produce coherent and relevant responses. Instead of having first-hand knowledge, ChatGPT analyzes statistical relationships between words and concepts in the training data. This process allows it to simulate understanding and generate human-like text without actual experience. Additionally, it uses probabilistic algorithms to select the most likely continuation of a given prompt. In essence, ChatGPT's ability comes from pattern recognition rather than true comprehension or experience. More details: https://celog.am/en/1/Home/SetCulture?pageUrl=https://4mama.com.ua