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Natural language processing is an important branch of artificial intelligence, which studies how to enable computers and humans to communicate in a natural language way. Thanks to the rapid development of deep learning technology, natural language processing algorithms based on artificial neural networks have been making breakthroughs in both accuracy and speed. As a representative technology in recent years, generative pre-trained transformer (ChatGPT) has been widely used in many fields such as chatbots, Q&A systems, machine translation, etc. ChatGPT is mainly based on the Transformer architecture and uses a large amount of text data for training to realize the understanding and generation of natural language. Around ChatGPT, this paper describes in detail the key technologies behind it, such as the ATTENTION mechanism. In addition, it also introduces typical applications of ChatGPT in medical, programming, education and other fields. By summarizing the problems that still exist in the technical development and practical application of ChatGPT, this paper further discusses the future development direction of ChatGPT
Jingyu Hu (Wed,) studied this question.