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    Wang Xiaochen, Zhang Kun, Zhang Peng. Large Model Safety and Practice from Multiple Perspectives[J]. Journal of Computer Research and Development. DOI: 10.7544/issn1000-1239.202330955
    Citation: Wang Xiaochen, Zhang Kun, Zhang Peng. Large Model Safety and Practice from Multiple Perspectives[J]. Journal of Computer Research and Development. DOI: 10.7544/issn1000-1239.202330955

    Large Model Safety and Practice from Multiple Perspectives

    • With the widespread application of big models in the field of artificial intelligence, the security issues of large models, especially large language models, have received attention. As an emerging technology, the security situation analysis of large models and the construction of security systems need further exploration. We analyze the overall trend of large model security from two perspectives: society and technology application. Based on the characteristics of large models, we sort out the practice of large model security building, and provide a reference plan for building a security system for large model development and large model application construction. The large model security practice plan introduced in this article includes three parts: security benchmark construction, model values alignment method, and model online service security system construction.
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