ᆭࡾൌဒ൩ Zhejiang Lab ࠎԤ৘ં࿹࣮ჽ ದ۽ᇆିაνಆ๶ؒ ളӮൔնଆ྘νಆაႅ඲Ϣ௃඀ ቔᆀ: ྷཫېđ໱߰ᵣđਾᇰ೦đ৙མđ๰໓࿄đਃ຿࿄đᅦၪđਾᅽ ϱಃ݂ᆭࡾൌဒ൩෮Ⴕ ߋ႒ࢌੀ 2023୍6ᄅ6ರThe development of the Generative AI, e.g., Large Language Models (LLM), have been popular in both academic and industrial communities on a worldwide scale, especially the ChatGPT series. The success of ChatGPT and GPT4 has shown the future direction of developing AGI. However, large generative models also suffer from the issue of data/model security and privacy. We should note that large generative models would bring a lot of security and privacy problems, when they demonstrate great power in changing our life, such as data leaking and the propagation of fake news. In this white paper, we first conclude the development of large generative models, including its effects and social influences. Then, we summarize the current security and privacy problems in existing large generative models, e.g., the data and model security, copyright problems, and ethical issues. Finally, wegivethecorrespondingsuggestionsaboutthecurrentsecurityandprivacy problems. Theycanbeemployedtopointoutfutureresearchanddevelopdirections, and can also be utilized as references for government decision-making.ଢ੣ 1྽࿽ 1 2ളӮൔնଆ྘ؿ֥ᅚᆭਫ਼ 1 2.1. ChatGPT ބGPT4֥భദ. . . . . . . . . . . . . . . . . . . . . . . . 1 2.1.1 GPT1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2.1.2 GPT2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.1.3 GPT3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.4 GPT3.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.1.5 InstructGPT . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.1.6 Google Bert . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.2. ChatGPT ބGPT4. . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.2.1 ChatGPT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.2.2 GPT4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.3. ChatGPT ބGPT4ᆭؿު֥҃ଆ྘ . . . . . . . . . . . . . . . . . . . 17 2.3.1 Facebook ğLLaMa . . . . . . . . . . . . . . . . . . . . . . . . 17 2.3.2 Stanford ğAlpaca. . . . . . . . . . . . . . . . . . . . . . . . . 18 2.3.3Ϥ؇ğ໓ྏ၂࿽ . . . . . . . . . . . . . . . . . . . . . . . . . 18 2.3.4έ৚ğ๙ၬత໙ . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.3.5ౢ޿ğChatGLM . . . . . . . . . . . . . . . . . . . . . . . . . 19 3ളӮൔնଆ྘ႄ֥ؿэ۪ 20 3.1.ႋႨ1ğᇹ৯ದ޺ࢌࠏ.......................... 20 3.2.ႋႨ2ğᇹ৯ྐ༏ሧჷܵ৘ . . . . . . . . . . . . . . . . . . . . . . . . 20 3.3.ႋႨ3ğᇹ৯॓࿐࿹࣮.......................... 22 3.4.ႋႨ4ğᇹ৯ଽಸԷቔ . . . . . . . . . . . . . . . . . . . . . . . . . . 23

.pdf文档 生成式大模型安全与隐私白皮书-之江实验室

文档预览
中文文档 60 页 50 下载 1000 浏览 0 评论 309 收藏 3.0分
温馨提示:本文档共60页,可预览 3 页,如浏览全部内容或当前文档出现乱码,可开通会员下载原始文档
生成式大模型安全与隐私白皮书-之江实验室 第 1 页 生成式大模型安全与隐私白皮书-之江实验室 第 2 页 生成式大模型安全与隐私白皮书-之江实验室 第 3 页
下载文档到电脑,方便使用
本文档由 人生无常2024-05-12 21:29:51上传分享
给文档打分
您好可以输入 255 个字符
网站域名是多少( 答案:github5.com )
评论列表
  • 暂时还没有评论,期待您的金玉良言