This is an open source Chinese ChatGPT tutorial document and community initiated by the Spark team. It aims to help all GPT learners better use ChatGPT and other tools to improve their work and learning efficiency and enjoy life better in the AI era. .
Although it is called the "ChatGPT" tutorial, our content is also applicable to GPT-based AI products such as "Wen Xin Yi Yan".
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Our goal is to create the highest quality and most detailed ChatGPT document at least on the Chinese Internet. However, since several authors on our team have limited time, we hope that more people with lofty ideals can join us and work with us to create this document. . If you are very interested in ChatGPT and can devote more than 3 hours a week to documentation, we sincerely invite you to join us.
(The WeChat & Enterprise WeChat that I originally posted before were blocked, are you speechless?)
If you have already started using ChatGPT or this type of GPT-based chatbot product, you are tired of those "strange tricks" such as having robots pretend to be astrologers, and want to learn more about it to improve your work and study. Efficiency, but it is difficult to find systematic learning materials at present, then this document may be suitable for you;
If you are a pure "novice" user who has only heard of "ChatGPT" on major social media and does not use it, there is currently no way to solve network, account, IP, etc. problems. Sorry, this document cannot solve it. content of this type of issue. However, if you cannot use ChatGPT directly, but are using products such as "Wenxin Yiyan", the knowledge in this document is also applicable.
If you are a pure player and don't care about what ChatGPT is, why and what it can do, then this document may not be suitable for you. In this document, we rarely mention specific operation steps, such as how to magically surf the Internet, how to register an account, how to connect ChatGPT to Siri or generate pictures together with midjourney, and there are already enough of this type on the Internet. tutorial, we won’t go into details.
If you are looking for a code tutorial for local deployment of a large language model, then this tutorial may not help you either. Although this document mentions a lot of knowledge about NLP and large language models, it rarely involves specific code.
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