With the advent of the AI era, it seems that almost all industries in the world will have to be integrated with AI. From unmanned driving in the automotive industry, human-machine conversations in the education and training industry, to AI image editing in the design industry. Last year, we still felt that AI was far away from us, but this year it seems to have entered every corner of our lives. Recently, we have received several AI projects for internal training within enterprises. As we all know, although natural language processing AIs like GPT can communicate just like humans, they are unable to answer some specific questions. For example, if you ask it about a company's performance appraisal, reward and punishment system, it won't be able to answer you accurately. So at this time, as we say in our industry, we need to "feed" data to it. Feeding data means that we need to build an internal knowledge base system of the enterprise on the AI platform and then feed the content of the knowledge base to the AI system. In this way, it will be able to perfectly answer both common knowledge questions and private questions. Therefore, many enterprises are now integrating with AI's natural language processing technology. On the one hand, they can create internal training robots for their own employees, and on the other hand, they can also create external virtual AI customer service agents. Meanwhile, it can also help training institutions to create AI instructors through text and voice technologies. This is just some enterprise-level applications of the natural language processing technology in AI. Later, we will gradually explain various application scenarios of AI in different enterprises to help enterprises upgrade with "AI +". Alright, we are Yiyun Technology. Follow us. You need a reliable team.