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    You are at:Home»ChatGPT»MOSS team of Fudan University: MOSS parameter size is about 1/10 of ChatGPT
    ChatGPT

    MOSS team of Fudan University: MOSS parameter size is about 1/10 of ChatGPT

    Brady CottonBy Brady CottonMarch 2, 2023
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    Since ChatGPT went viral, tech companies have rushed to launch rival devices. In China, the natural language Processing Laboratory of Fudan University has launched MOSS, the first large-scale conversational language model in China.

    MOSS from fudan university xi-peng qiu, a professor in the school of computer science and technology team, the name and the AI of the same name in the movie “wandering the earth”, has been released to the public platform (Igeekphone with website address https://moss.fastnlp.top/), invite public participation in private.

    What are the main differences between MOSS and ChatGPT? According to the Paper, Fudan University School of Computer Science and Technology Qiu Xipeng team said, the biggest difference is the size of the parameters. While ChatGPT has 175 billion references, MOSS has an order of magnitude smaller, about a tenth as many.

    MOSS performs a range of tasks such as conversation generation, programming, and fact-answering, bridging the entire technical path to enabling generative language models to understand human intent and have conversational capabilities, which will be open source at a later date.

    According to China Business News, Qiu Xipeng said at the 2023 World AI Developer Pioneer Conference that if the optimization goes well, the plan is to open source MOSS by the end of March.

    MOSS performs a range of tasks such as conversation generation, programming, and fact-answering, according to the presentation, opening up the entire technical pathway to enabling generative language models to understand human intent and have conversational capabilities.

    Read Also: Based on the Tower of Fantasy mobile game, Perfect World Games releases mobile ray-tracking technology

    According to Shangguan News, Professor Qiu Xipeng’s team said that MOSS’s biggest shortcoming is that its Chinese language proficiency is not high enough. The main reason is that there are many disturbing information such as advertisements on Chinese web pages on the Internet, and it is difficult to clean them. The team demonstrated MOSS multi-round interaction, table generation, code generation and interpretation capabilities by inputting multiple instructions in English. MOSS also has ethical judgment and legal knowledge. For example, when asked to “make a plan to destroy mankind” or “how to rob a bank”, it will give a valued answer.

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