{"id":45413,"date":"2023-09-27T17:04:37","date_gmt":"2023-09-27T09:04:37","guid":{"rendered":"https:\/\/swarma.org\/?p=45413"},"modified":"2023-09-27T17:04:37","modified_gmt":"2023-09-27T09:04:37","slug":"%e4%bb%8e%e6%89%a9%e6%95%a3%e6%a8%a1%e5%9e%8b%e5%88%b0%e6%b3%8a%e6%9d%be%e6%b5%81%e6%a8%a1%e5%9e%8b%ef%bc%8c%e7%94%9f%e6%88%90%e5%bc%8fai%e7%9a%84%e7%89%a9%e7%90%86%e5%9f%ba%e7%a1%80%e6%98%af%e5%90%a6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=45413","title":{"rendered":"\u4ece\u6269\u6563\u6a21\u578b\u5230\u6cca\u677e\u6d41\u6a21\u578b\uff0c\u751f\u6210\u5f0fAI\u7684\u7269\u7406\u57fa\u7840\u662f\u5426\u6709\u671b\u5927\u4e00\u7edf\uff1f"},"content":{"rendered":"
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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff08Jure Leskovec \u6559\u6388\u6307\u5bfc\uff09\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff08Max Tegmark \u6559\u6388\u6307\u5bfc\uff09\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201cAI+Science<\/a>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u63a2\u8ba8\u8be5\u9886\u57df\u7684\u91cd\u8981\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\u3002\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/strong><\/span><\/strong><\/p>\n


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Steve Nadis<\/span> | \u4f5c\u8005<\/strong><\/span><\/strong><\/p>\n

\u5218\u57f9\u6e90<\/span> | \u8bd1\u8005<\/strong><\/span><\/strong><\/span><\/p>\n

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\u4eba\u5de5\u667a\u80fd\u5de5\u5177\uff0c\u7279\u522b\u662f\u795e\u7ecf\u7f51\u7edc\uff0c\u5bf9\u7269\u7406\u5b66\u5bb6\u6765\u8bf4\u5927\u6709\u88e8\u76ca\u3002\u591a\u5e74\u4ee5\u6765\uff0c\u8fd9\u9879\u6280\u672f\u52a9\u529b\u7814\u7a76\u4eba\u5458\u91cd\u6784\u52a0\u901f\u5668\u5b9e\u9a8c\u4e2d\u7684\u7c92\u5b50\u8f68\u8ff9\u3001\u5bfb\u627e\u65b0\u7c92\u5b50\u7684\u8bc1\u636e\uff0c\u4ee5\u53ca\u63a2\u6d4b\u5f15\u529b\u6ce2\u548c\u7cfb\u5916\u884c\u661f\u3002\u867d\u7136AI\u5de5\u5177\u5bf9\u7269\u7406\u5b66\u5bb6\u7684\u5e2e\u52a9\u4e0d\u8a00\u800c\u55bb\uff0c\u4f46\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7684\u7269\u7406\u5b66\u5bb6Max Tegmark\u5982\u4eca\u5374\u63d0\u51fa\u4e86\u8fd9\u6837\u7684\u95ee\u9898\uff1a\u201c\u7269\u7406\u5b66\u80fd\u56de\u9988\u4eba\u5de5\u667a\u80fd\u4ec0\u4e48\u5462\uff1f\u201d<\/span><\/section>\n

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Tegmark\u575a\u4fe1\uff0c\u7269\u7406\u5b66\u5bb6\u80fd\u5bf9\u4eba\u5de5\u667a\u80fd\u7684\u79d1\u5b66\u7406\u8bba<\/span>\uff08the science of AI\uff09<\/span>\u505a\u51fa\u663e\u8457\u8d21\u732e\uff0c\u4ed6\u4e5f\u628a\u8fd9\u4e2a\u76ee\u6807\u5b9a\u4e3a\u81ea\u5df1\u7684\u7814\u7a76\u9996\u8981\u4efb\u52a1\u3002Tegmark\u8ba4\u4e3a\uff0c\u7269\u7406\u5b66\u5bb6\u53ef\u4ee5\u901a\u8fc7\u7528\u5df2\u7ecf\u88ab\u6df1\u5165\u7406\u89e3\u7684\u7269\u7406\u8fc7\u7a0b\u65b9\u7a0b\uff0c\u66ff\u4ee3\u795e\u7ecf\u7f51\u7edc\u4e2d\u90a3\u4e9b\u96be\u4ee5\u7406\u89e3\u7684\u201c\u9ed1\u7bb1\u201d\u7b97\u6cd5\uff0c\u4ece\u800c\u63a8\u8fdbAI\u6280\u672f\u7684\u53d1\u5c55\u3002<\/span><\/section>\n

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\u53bb\u5e74\u5e74\u5e95\uff0cTegmark\u56e2\u961f\u63d0\u51fa\u4e86\u4e00\u79cd\u9887\u5177\u524d\u666f\u7684\u65b0\u578b\u56fe\u50cf\u751f\u6210\u65b9\u6cd5\uff0c\u53d6\u540d\u4e3a\u6cca\u677e\u6d41\u751f\u6210\u6a21\u578b<\/strong><\/span>\uff08Poisson flow generative model\uff0cPFGM\uff09<\/span>\u3002\u5728\u8be5\u6a21\u578b\u4e2d\uff0c\u6570\u636e\u4ee5\u5e26\u7535\u7c92\u5b50\u7684\u5f62\u5f0f\u8868\u793a\uff0c\u8fd9\u4e9b\u201c\u7c92\u5b50\u201d\u805a\u5408\u5f62\u6210\u7535\u573a\uff0c\u7535\u573a\u7279\u6027\u53d6\u51b3\u4e8e\u4efb\u4e00\u65f6\u523b\u7535\u8377\u7684\u5206\u5e03\u60c5\u51b5\u3002\u4e4b\u6240\u4ee5\u88ab\u79f0\u4e3a\u6cca\u677e\u6d41\u6a21\u578b\uff0c\u662f\u56e0\u4e3a\u7535\u8377\u7684\u8fd0\u52a8\u53d7\u5230\u6cca\u677e\u65b9\u7a0b\u7684\u7ea6\u675f\u3002\u6cca\u677e\u65b9\u7a0b\u6e90\u4e8e\u5e93\u4ed1\u5b9a\u5f8b\uff1a\u4e24\u7535\u8377\u95f4\u7684\u9759\u7535\u529b\u4e0e\u5b83\u4eec\u4e4b\u95f4\u7684\u8ddd\u79bb\u5e73\u65b9\u6210\u53cd\u6bd4<\/span>\uff08\u4e0e\u725b\u987f\u5f15\u529b\u516c\u5f0f\u7c7b\u4f3c\uff09<\/span>\u3002<\/span><\/section>\n

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Poisson Flow Generative Models<\/span><\/section>\n
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https:\/\/arxiv.org\/abs\/2209.11178<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u53c2\u770b\u8bb8\u9038\u4f26\u5728AI+Science\u8bfb\u4e66\u4f1a<\/a>\u7684\u5206\u4eab\uff0c\u7269\u7406\u542f\u53d1\u7684\u6df1\u5ea6\u751f\u6210\u6a21\u578b<\/span><\/p>\n

https:\/\/pattern.swarma.org\/study_group_issue\/476<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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2023\u5e74\u521d\uff0c\u8be5\u56e2\u961f\u5347\u7ea7\u4e86\u6cca\u677e\u6a21\u578b\uff0c\u5c06\u5176\u6269\u5c55\u4e3a\u4e00\u4e2a\u5b8c\u6574\u7684\u6a21\u578b\u7cfb\u5217\u3002\u589e\u5f3a\u7248\u7684PFGM++\u5f15\u5165\u4e86\u4e00\u4e2a\u65b0\u53c2\u6570D\uff0c\u8ba9\u7814\u7a76\u8005\u4eec\u80fd\u591f\u8c03\u6574\u7cfb\u7edf\u7684\u7ef4\u5ea6\u3002\u8fd9\u53ef\u4ee5\u5e26\u6765\u663e\u8457\u7684\u53d8\u5316\uff1a\u5728\u6211\u4eec\u719f\u6089\u7684\u4e09\u7ef4\u7a7a\u95f4\u4e2d\uff0c\u7535\u8377\u6240\u4ea7\u751f\u7684\u7535\u573a\u5f3a\u5ea6\u4e0e\u7535\u8377\u8ddd\u79bb\u7684\u5e73\u65b9\u6210\u53cd\u6bd4\u3002\u7136\u800c\u5728\u56db\u7ef4\u7a7a\u95f4\u4e2d\uff0c\u7535\u573a\u5f3a\u5ea6\u5219\u9075\u5faa\u4e0e\u8ddd\u79bb\u7684\u7acb\u65b9\u6210\u53cd\u6bd4\u3002\u5bf9\u4e8e\u6bcf\u4e2a\u7a7a\u95f4\u7ef4\u5ea6\u4ee5\u53ca\u6bcf\u4e2aD\u503c\uff0c\u8fd9\u79cd\u5173\u7cfb\u90fd\u6709\u6240\u4e0d\u540c\u3002<\/span><\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/section>\n
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1a<\/span><\/section>\n
https:\/\/arxiv.org\/abs\/2302.04265<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u5218\u4e00\u9e23\u4e5f\u4f5c\u4e3a\u56e2\u961f\u4e00\u5458\uff0c\u5c06PFGM\u6269\u5c55\u5230\u5305\u62ec\u591a\u4e2a\u53ef\u80fd\u7ef4\u5ea6\uff0c\u8fd9\u4f7f\u7814\u7a76\u4eba\u5458\u80fd\u591f\u5bf9\u795e\u7ecf\u7f51\u7edc\u7684\u9c81\u68d2\u6027\u548c\u8bad\u7ec3\u7684\u4fbf\u5229\u6027\u8fdb\u884c\u5fae\u8c03\u3002<\/span><\/section>\n


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\u53c2\u770b\u5218\u5b50\u9e23\u5728AI+Science\u8bfb\u4e66\u4f1a<\/a>\u7684\u76f8\u5173\u5206\u4eab<\/span><\/p>\n

https:\/\/pattern.swarma.org\/study_group_issue\/456<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u52a0\u5f3a\u7248\u6a21\u578bPFGM++\uff0c\u201c\u7ed9\u4e86\u4f60\u5728\u4e24\u4e2a\u6781\u7aef\u4e4b\u95f4\u63d2\u503c\u7684\u7075\u6d3b\u6027\u201d\uff0c\u52a0\u5dde\u5927\u5b66\u5723\u5730\u4e9a\u54e5\u5206\u6821\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6Rose Yu\u5982\u662f\u8bf4\u3002<\/span><\/section>\n

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\u8bb8\u9038\u4f26\u8868\u793a\uff0c\u5728\u8fd9\u4e2a\u8303\u56f4\u5185\uff0c\u5b58\u5728\u4e00\u4e2a\u7406\u60f3\u7684D\u503c\uff0c\u80fd\u591f\u5728\u9c81\u68d2\u6027\u548c\u8bad\u7ec3\u4fbf\u5229\u6027\u4e4b\u95f4\u53d6\u5f97\u5e73\u8861\u3002\u201c\u672a\u6765\u7684\u7814\u7a76\u76ee\u6807\u4e4b\u4e00\u5c31\u662f\u5bfb\u627e\u4e00\u79cd\u7cfb\u7edf\u7684\u65b9\u5f0f\u6765\u786e\u5b9a\u8fd9\u4e2a\u6700\u4f73\u70b9\uff0c\u8fd9\u6837\u6211\u4eec\u5c31\u80fd\u5728\u4e0d\u5fc5\u4f9d\u8d56\u8bd5\u9519\u7684\u60c5\u51b5\u4e0b\uff0c\u4e3a\u7ed9\u5b9a\u7684\u60c5\u5883\u9009\u62e9\u6700\u4f73D\u503c\u3002\u201d<\/span><\/section>\n

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\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7814\u7a76\u56e2\u961f\u7684\u53e6\u4e00\u76ee\u6807\u662f\u5bfb\u627e\u66f4\u591a\u80fd\u4e3a\u65b0\u7684\u751f\u6210\u6a21\u578b\u63d0\u4f9b\u57fa\u7840\u7684\u7269\u7406\u8fc7\u7a0b\u3002\u901a\u8fc7\u540d\u4e3aGenPhys\u7684\u9879\u76ee\uff0c\u8be5\u56e2\u961f\u5df2\u7ecf\u627e\u5230\u4e86\u4e00\u4e2a\u6709\u5e0c\u671b\u7684\u5019\u9009\u8005\uff1a\u4e0e\u5f31\u6838\u529b\u6709\u5173\u7684Yukawa\u52bf<\/strong>\u3002\u201c\u5b83\u4e0e\u6cca\u677e\u6d41\u548c\u6269\u6563\u6a21\u578b\u4e0d\u540c\uff0c\u8fd9\u4e9b\u6a21\u578b\u4e2d\u7c92\u5b50\u7684\u6570\u91cf\u603b\u662f\u4fdd\u6301\u6052\u5b9a\uff0c\u201d\u5218\u5b50\u9e23\u8bf4\u3002\u201c\u800cYukawa\u52bf\u5141\u8bb8\u4f60\u53bb\u9664\u7c92\u5b50\u6216\u5c06\u67d0\u4e2a\u7c92\u5b50\u4e00\u5206\u4e3a\u4e8c\u3002\u8fd9\u6837\u7684\u6a21\u578b\u6709\u53ef\u80fd\u6a21\u62df\u7ec6\u80de\u6570\u91cf\u4e0d\u5fc5\u4fdd\u6301\u6052\u5b9a\u7684\u751f\u7269\u7cfb\u7edf\u3002\u201d<\/span><\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/section>\n
GenPhys: From Physical Processes to Generative Models<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1a<\/span><\/section>\n
https:\/\/arxiv.org\/abs\/2304.02637<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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PFGM++\u672c\u8eab\u5df2\u7ecf\u8d85\u51fa\u4e86\u5176\u521b\u9020\u8005\u4eec\u6700\u521d\u7684\u9884\u671f\u3002\u4ed6\u4eec\u8d77\u521d\u5e76\u672a\u610f\u8bc6\u5230\uff0c\u5f53D\u88ab\u8bbe\u5b9a\u4e3a\u65e0\u7a77\u5927\u65f6\uff0c\u589e\u5f3a\u7248\u7684\u6cca\u677e\u6d41\u6a21\u578b\u5c31\u4e0e\u6269\u6563\u6a21\u578b\u65e0\u4e8c\u4e86\u3002\u5218\u5b50\u9e23\u5728\u4eca\u5e74\u65e9\u4e9b\u65f6\u5019\u8fdb\u884c\u7684\u8ba1\u7b97\u4e2d\u53d1\u73b0\u4e86\u8fd9\u4e00\u70b9\u3002<\/span><\/section>\n

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\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u5bb6Mert Pilanci\u5c06\u8fd9\u79cd\u201c\u7edf\u4e00\u201d\u89c6\u4e3a\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u56e2\u961f\u5de5\u4f5c\u7684\u6700\u91cd\u8981\u6210\u679c\u3002\u4ed6\u8bf4\uff1a\u201cPFGM++\u8bba\u6587\uff0c\u63ed\u793a\u4e86\u8fd9\u4e24\u79cd\u6a21\u578b\u90fd\u662f\u67d0\u4e2a\u66f4\u5e7f\u9614\u7c7b\u522b\u7684\u4e00\u90e8\u5206\uff0c\u8fd9\u63d0\u51fa\u4e86\u4e00\u4e2a\u6709\u8da3\u7684\u95ee\u9898\uff1a\u662f\u5426\u8fd8\u6709\u5176\u4ed6\u751f\u6210\u5f0fAI\u7684\u7269\u7406\u6a21\u578b\u7b49\u5f85\u88ab\u53d1\u73b0\uff0c\u9884\u793a\u67d0\u79cd\u66f4\u5927\u7684\u7edf\u4e00\u6027\uff1f\u201d<\/span><\/section>\n

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\u7ffb\u8bd1\u81ea Quanta Magazine<\/span><\/section>\n
\u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/www.quantamagazine.org\/new-physics-inspired-generative-ai-exceeds-expectations-20230919\/<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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AI+Science \u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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AI+Science \u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002\u4e00\u65b9\u9762\u662f AI for Science\uff0c\u673a\u5668\u5b66\u4e60\u548c\u5176\u4ed6 AI \u6280\u672f\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u95ee\u9898\uff0c\u4ece\u9884\u6d4b\u5929\u6c14\u548c\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u5230\u6a21\u62df\u661f\u7cfb\u78b0\u649e\u3001\u8bbe\u8ba1\u4f18\u5316\u6838\u805a\u53d8\u53cd\u5e94\u5806\uff0c\u751a\u81f3\u50cf\u79d1\u5b66\u5bb6\u4e00\u6837\u8fdb\u884c\u79d1\u5b66\u53d1\u73b0\uff0c\u88ab\u79f0\u4e3a\u79d1\u5b66\u53d1\u73b0\u7684\u201c\u7b2c\u4e94\u8303\u5f0f\u201d\u3002\u53e6\u4e00\u65b9\u9762\u662f Science for AI\uff0c\u79d1\u5b66\u5c24\u5176\u662f\u7269\u7406\u5b66\u4e2d\u7684\u89c4\u5f8b\u548c\u601d\u60f3\u542f\u53d1\u673a\u5668\u5b66\u4e60\u7406\u8bba\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u63d0\u4f9b\u5168\u65b0\u7684\u89c6\u89d2\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff08Jure Leskovec \u6559\u6388\u6307\u5bfc\uff09\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff08Max Tegmark \u6559\u6388\u6307\u5bfc\uff09\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201cAI+Science<\/a>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u63a2\u8ba8\u8be5\u9886\u57df\u7684\u91cd\u8981\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\u3002\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/section>\n

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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n

1. <\/strong> \u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\uff1a\u8ba9\u7269\u7406\u4e16\u754c\u62e5\u6709AI | \u9ec4\u6587\u70b3\u5206\u4eab\u6574\u7406<\/a><\/strong><\/span><\/strong><\/section>\n
2.<\/strong>  \u63a2\u7d22\u201cAI \u5927\u7edf\u4e00\u7406\u8bba\u201d\uff1a\u79d1\u5b66\u542f\u53d1\u7684\u673a\u5668\u5b66\u4e60\u7406\u8bba<\/a><\/strong><\/span><\/section>\n
3.  <\/strong><\/strong>AI\u751f\u6210\u827a\u672f\u7684\u5e95\u5c42\u539f\u7406\uff1a\u975e\u5e73\u8861\u7269\u7406\u7684\u6269\u6563\u6a21\u578b<\/a><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n
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4. <\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
5. <\/strong>\u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/a><\/span><\/strong><\/section>\n
6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/span><\/strong><\/span><\/p>\n

\u200b\u200b\u200b\u200b\u200b\u200b<\/p>\n

<\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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