{"id":59028,"date":"2025-04-28T22:14:55","date_gmt":"2025-04-28T14:14:55","guid":{"rendered":"https:\/\/swarma.org\/?p=59028"},"modified":"2025-04-28T22:14:55","modified_gmt":"2025-04-28T14:14:55","slug":"%e3%80%8aaixscience%e5%8d%81%e5%a4%a7%e5%89%8d%e6%b2%bf%e8%a7%82%e5%af%9f%e3%80%8b1%ef%bc%9a%e5%9f%ba%e4%ba%8ellm%e7%9a%84%e7%a7%91%e5%ad%a6%e7%a0%94%e7%a9%b6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=59028","title":{"rendered":"\u300aAI\u00d7SCIENCE\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u300b1\uff1a\u57fa\u4e8eLLM\u7684\u79d1\u5b66\u7814\u7a76"},"content":{"rendered":"
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\u8fd1\u5e74\u6765\uff0c\u5927\u8bed\u8a00\u6a21\u578b<\/span> (Large Language Models, LLMs) <\/span>\u6b63\u5728\u6df1\u523b\u5f71\u54cd\u79d1\u5b66\u7814\u7a76\u7684\u65b9\u5f0f\u3002\u6b63\u5982Nature Reviews Physics\u7684\u8bc4\u8bba\u6587\u7ae0[1]\u6307\u51fa\uff0cLLM\u5728\u79d1\u7814\u4e2d\u626e\u6f14\u7684\u662f\u201c\u589e\u5f3a\u578b\u52a9\u624b\u201d\u800c\u975e\u201c\u66ff\u4ee3\u8005\u201d\u7684\u89d2\u8272\uff0c\u8fd9\u79cd\u589e\u5f3a\u4f5c\u7528\u4f53\u73b0\u5728\u5bf9\u79d1\u7814\u6d3b\u52a8\u4e0d\u540c\u7ef4\u5ea6\u7684\u91cd\u6784\u4e2d\u3002<\/span><\/span><\/p>\n

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\u7b2c\u4e00\u4e2a\u5c42\u6b21\u662f\u77e5\u8bc6\u91cd\u6784\u7ef4\u5ea6\u3002\u4f20\u7edf\u7684\u79d1\u5b66\u77e5\u8bc6\u662f\u5206\u6563\u5728\u5404\u4e2a\u4e13\u4e1a\u9886\u57df\u7684\uff0c\u4e0d\u540c\u5b66\u79d1\u4e4b\u95f4\u5b58\u5728\u7740\u201c\u77e5\u8bc6\u9e3f\u6c9f\u201d\u548c\u201c\u8bed\u8a00\u969c\u788d\u201d\u3002LLM\u901a\u8fc7\u63d0\u4f9b\u7edf\u4e00\u7684\u77e5\u8bc6\u8868\u8fbe\u6846\u67b6\uff0c\u6b63\u5728\u6253\u7834\u8fd9\u4e9b\u58c1\u5792\u3002\u4f8b\u5982\uff0cGalactica[2]\u901a\u8fc7\u6574\u5408\u6d77\u91cf\u79d1\u5b66\u6587\u732e\uff0c\u91cd\u65b0\u5b9a\u4e49\u4e86\u79d1\u5b66\u77e5\u8bc6\u7684\u7ec4\u7ec7\u65b9\u5f0f\uff1bBioGPT[3]\u5728\u751f\u7269\u533b\u5b66\u77e5\u8bc6\u8868\u793a\u548c\u751f\u6210\u65b9\u9762\u53d6\u5f97\u7a81\u7834\u3002\u8fd9\u4e9b\u5de5\u4f5c\u4e3a\u79d1\u5b66\u53d1\u73b0\u63d0\u4f9b\u4e86\u65b0\u7684\u8ba4\u77e5\u57fa\u7840\uff0c\u4f7f\u5f97\u7814\u7a76\u8005\u80fd\u591f\u66f4\u5bb9\u6613\u5730\u53d1\u73b0\u8de8\u9886\u57df\u7684\u5173\u8054\u548c\u6d1e\u89c1\u3002<\/span><\/span><\/p>\n

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1. \u77e5\u8bc6\u8868\u8fbe\uff1a\u5982\u4f55\u5728\u77e5\u8bc6\u91cd\u6784\u4e2d\u4fdd\u6301\u4e13\u4e1a\u6df1\u5ea6\u5e76\u786e\u4fdd\u8868\u8fbe\u7684\u5b8c\u5907\u6027\uff1f<\/span><\/span><\/p>\n

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    Galactica\u7684\u4ea7\u54c1\u9875\u9762 | \u6765\u6e90\uff1aGalactica\u7684\u5b98\u7f51\uff08\u73b0\u5df2\u4e0b\u7ebf\uff09<\/span><\/span><\/em><\/span><\/p>\n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong>\uff1aGalactica[2]\u662f\u9996\u4e2a\u4e13\u95e8\u9762\u5411\u79d1\u5b66\u6587\u732e\u8bad\u7ec3\u7684\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\uff0c\u901a\u8fc7\u6574\u54084800\u4e07\u7bc7\u79d1\u7814\u8bba\u6587\u3001\u6559\u6750\u548c\u77e5\u8bc6\u5e93\u7684\u5185\u5bb9\uff0c\u52a0\u4e0a\u72ec\u7279\u7684\u8bad\u7ec3\u7b56\u7565\u548c\u6a21\u578b\u8bbe\u8ba1<\/span><\/span>\uff0c<\/span><\/span>\u5c55\u73b0\u4e86LLM\u5728\u79d1\u5b66\u77e5\u8bc6\u7efc\u5408\u7406\u89e3\u4e0e\u5e94\u7528\u65b9\u9762\u7684\u5f3a\u5927\u6f5c\u529b\u3002<\/span><\/span><\/p>\n

    \u8de8\u5b66\u79d1\u77e5\u8bc6\u7684\u6574\u5408\u4e0e\u521b\u65b0<\/span><\/span>\u5df2<\/span><\/span>\u6210\u4e3a\u63a8\u52a8\u79d1\u5b66\u8fdb\u6b65\u7684\u5173\u952e\u52a8\u529b\uff0c\u7136\u800c\uff0c\u9762\u5bf9\u6307\u6570\u7ea7\u589e\u957f\u7684\u79d1\u7814\u6587\u732e\uff0c\u7814\u7a76\u4eba\u5458\u5f80\u5f80\u96be\u4ee5\u5168\u9762\u628a\u63e1\u4e0d\u540c\u9886\u57df\u7684\u77e5\u8bc6\u8109\u7edc\u3002\u80fd\u5426\u6784\u5efa\u4e00\u4e2a\u201c\u79d1\u5b66\u77e5\u8bc6\u7684\u901a\u7528\u7406\u89e3\u8005\u201d\uff0c\u6253\u7834\u5b66\u79d1\u58c1\u5792\uff0c\u5b9e\u73b0\u8de8\u9886\u57df\u77e5\u8bc6\u7684\u6709\u673a\u878d\u5408\uff1f<\/span><\/span><\/p>\n

    Galactica\u662f\u4e00\u4e2a\u975e\u5e38\u91cd\u8981\u7684\u5c1d\u8bd5<\/span><\/span>\u3002<\/span><\/span>\u901a\u8fc7\u521b\u65b0\u7684\u6570\u636e\u5904\u7406\u548c\u8bad\u7ec3\u7b56\u7565\uff0c<\/span><\/span>Galactica<\/span><\/span>\u5f00\u521b\u4e86\u4e13\u4e1a\u9886\u57df\u5927\u6a21\u578b\u7684\u65b0\u8303\u5f0f\u3002\u5b83\u7684\u6838\u5fc3\u7a81\u7834\u5728\u4e8e\u63d0\u51fa\u4e86\u201c\u9ad8\u8d28\u91cf\u6570\u636e+\u591a\u8f6e\u8fed\u4ee3\u201d\u7684\u8bad\u7ec3\u65b9\u6cd5\uff0c\u901a\u8fc7\u5bf9\u7cbe\u9009\u76844800\u4e07\u7bc7\u79d1\u7814\u6587\u732e\u8fdb\u884c4.25\u8f6e\u6df1\u5ea6\u8bad\u7ec3\uff0c\u9a8c\u8bc1\u4e86\u8fd9\u4e00\u65b9\u6cd5\u4f18\u4e8e\u4f20\u7edf\u7684\u201c\u5927\u89c4\u6a21\u6570\u636e+\u5355\u8f6e\u8bad\u7ec3\u201d\u8303\u5f0f\u3002\u540c\u65f6\uff0c\u5b83\u8bbe\u8ba1\u4e86\u72ec\u7279\u7684<\/span><\/span>T<\/span><\/span>okenization\u7b56\u7565\u7edf\u4e00\u5904\u7406\u79d1\u7814\u9886\u57df\u7684\u591a\u6a21\u6001\u6570\u636e<\/span>\uff08\u5982\u6570\u5b66\u516c\u5f0f\u3001\u5316\u5b66\u7ed3\u6784\u3001\u86cb\u767d\u8d28\u5e8f\u5217\uff09<\/span>\uff0c\u5e76\u521b\u65b0\u6027\u5730\u5f15\u5165<\/span><\/span>R<\/span><\/span>eference <\/span><\/span>T<\/span><\/span>oken\u548c<\/span><\/span>W<\/span><\/span>ork <\/span><\/span>T<\/span><\/span>oken\u5206\u522b\u7528\u4e8e\u6784\u5efa\u77e5\u8bc6\u56fe\u8c31\u548c\u652f\u6301\u591a\u6b65\u63a8\u7406\u3002\u8fd9\u4e9b\u8bbe\u8ba1\u8ba9Galactica\u5728\u591a\u4e2a\u79d1\u5b66\u4efb\u52a1\u4e0a\u53d6\u5f97\u4e86\u7a81\u7834\u6027\u8fdb\u5c55\uff1aLaTeX\u516c\u5f0f\u7406\u89e3\u51c6\u786e\u7387\u8fbe68.2%<\/span>\uff08\u8d85GPT-3\u8fd120\u4e2a\u767e\u5206\u70b9\uff09<\/span>\uff0c\u6570\u5b66\u63a8\u7406\u51c6\u786e\u7387\u8fbe41.3%<\/span>\uff08\u8d85Chinchilla 5.6\u4e2a\u767e\u5206\u70b9\uff09<\/span>\uff0c\u533b\u5b66\u95ee\u7b54\u51c6\u786e\u7387\u521b\u4e0b77.6%\u7684\u65b0\u7eaa\u5f55\u3002<\/span><\/span><\/p>\n

    Galactica<\/span><\/span>\u4e86<\/span><\/span>\u5b9e\u73b0\u79d1\u5b66\u77e5\u8bc6\u7684\u7cfb\u7edf\u6027\u6574\u5408<\/span><\/span>\u3002<\/span><\/span>\u540c\u65f6\uff0c\u7531\u4e8e\u6709\u5927\u91cf\u7814\u7a76\u6307\u51fa\u8fd9\u9879\u6280\u672f\u5bb9\u6613\u4ea7\u751f\u504f\u89c1\u548c\u5c06\u8c0e\u8a00\u65ad\u8a00\u4e3a\u4e8b\u5b9e\u7684\u503e\u5411<\/span><\/span>\u7b49\u7f3a\u9677\uff0c\u5373<\/span><\/span>\u6587\u672c\u751f\u6210\u4e2d\u7684<\/span><\/span>\u5e7b\u89c9\uff08<\/span><\/span><\/strong>H<\/span><\/span><\/strong>allucination\uff09\uff0c\u7ecf\u8fc7\u4e09\u5929\u7684\u6fc0\u70c8\u6279\u8bc4\u540e<\/span><\/span><\/strong>\u5373<\/span><\/span><\/strong>\u88ab\u8fc5\u901f\u4e0b\u7ebf\u3002<\/span><\/span><\/strong><\/p>\n

    \u5c3d\u7ba1\u5982\u6b64\uff0cGalactica\u901a\u8fc7\u5c06\u9886\u57df\u77e5\u8bc6\u7cfb\u7edf\u6027\u6ce8\u5165\u9884\u8bad\u7ec3\u8fc7\u7a0b\uff0c\u4e3a\u6784\u5efa\u4e13\u4e1a\u9886\u57df\u5927\u6a21\u578b\u63d0\u4f9b\u4e86\u91cd\u8981\u8303\u5f0f\uff0c\u5176\u5f71\u54cd\u5df2\u8d85\u8d8a\u79d1\u5b66\u9886\u57df\uff0c\u4e3a\u5176\u4ed6\u5782\u76f4\u9886\u57df\u5927\u6a21\u578b\u7684\u53d1\u5c55\u63d0\u4f9b\u4e86\u6709\u76ca\u501f\u9274<\/span><\/span>\u3002<\/span><\/span>\u5176\u4e2d<\/span><\/span>\uff0c<\/span><\/span>\u6765\u81ea\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\u7684\u56e2\u961f\u5c06\u8fd9\u4e00\u9887\u5177\u6f5c\u529b\u7684\u6a21\u578b\u5f15\u5165\u5230\u4e86\u5730\u7403\u79d1\u5b66\u9886\u57df\uff0c\u5b8c\u6210\u4e86300\u4ebf\u53c2\u6570\u7684\u5730\u5b66\u2f24\u8bed\u2f94\u6a21\u578bGeoGalactica\u7684\u8bad\u7ec3[9]\u3002<\/span><\/span><\/p>\n

    \u57fa\u4e8eLLM\u7684\u79d1\u7814\u6d41\u7a0b\u91cd\u6784<\/span><\/span><\/h4>\n
    <\/section>\n

    ChemCrow\u4efb\u52a1\u89e3\u51b3\u8fc7\u7a0b\u6982\u8ff0 | \u6765\u6e90\uff1aM. Bran, A., Cox, S., Schilter, O. et al. Augmenting large language models with chemistry tools. Nat Mach Intell 6, 525\u2013535 (2024). https:\/\/doi.org\/10.1038\/s42256-024-00832-8<\/span><\/span><\/em><\/span><\/p>\n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong>\uff1a\u79d1\u5b66\u7814\u7a76\u7684\u8fc7\u7a0b\u62bd\u8c61\u662f\u4e00\u4e2a\u6839\u672c\u6027\u6311\u6218\uff0c\u5b83\u6d89\u53ca\u5982\u4f55\u5c06\u590d\u6742\u7684\u7814\u7a76\u6d3b\u52a8\u5206\u89e3\u4e3a\u53ef\u8ba1\u7b97\u3001\u53ef\u6267\u884c\u7684\u4efb\u52a1\u5e8f\u5217\u3002ChemCrow[4]\u901a\u8fc7\u521b\u65b0\u6027\u5730\u5c06LLM\u4e0e\u4e13\u4e1a\u5de5\u5177\u76f8\u7ed3\u5408\uff0c\u4e3a\u8fd9\u4e00\u6311\u6218\u63d0\u4f9b\u4e86\u4e00\u4e2a\u53ef\u884c\u7684\u89e3\u51b3\u65b9\u6848\u3002  \u79d1\u5b66\u7814\u7a76\u8fc7\u7a0b\u7684\u5f62\u5f0f\u5316\u548c\u81ea\u52a8\u5316\u4e00\u76f4\u662f\u4e00\u4e2a\u91cd\u8981\u800c\u56f0\u96be\u7684\u8bfe\u9898\u3002\u4f20\u7edf\u4e0a\uff0c\u79d1\u7814\u6d3b\u52a8\u9ad8\u5ea6\u4f9d\u8d56\u7814\u7a76\u8005\u7684\u7ecf\u9a8c\u548c\u76f4\u89c9\uff0c\u8fd9\u79cd\u4f9d\u8d56\u4e0d\u4ec5\u9650\u5236\u4e86\u7814\u7a76\u6548\u7387\uff0c\u4e5f\u4f7f\u5f97\u8bb8\u591a\u5b9d\u8d35\u7684\u7814\u7a76\u7ecf\u9a8c\u96be\u4ee5\u4f20\u627f\u548c\u63a8\u5e7f\u3002\u5982\u4f55\u5c06\u4e13\u5bb6\u7684\u7ecf\u9a8c\u548c\u5224\u65ad\u8f6c\u5316\u4e3a\u660e\u786e\u7684\u64cd\u4f5c\u6d41\u7a0b\uff0c\u5982\u4f55\u786e\u4fdd\u590d\u6742\u5b9e\u9a8c\u8fc7\u7a0b\u7684\u53ef\u91cd\u590d\u6027\uff0c\u5982\u4f55\u5728\u4fdd\u6301\u7075\u6d3b\u6027\u7684\u540c\u65f6\u5b9e\u73b0\u9ad8\u5ea6\u81ea\u52a8\u5316\uff0c\u8fd9\u4e9b\u95ee\u9898\u957f\u671f\u56f0\u6270\u7740\u5404\u4e2a\u79d1\u5b66\u9886\u57df\u3002<\/span><\/span><\/p>\n

    ChemCrow\u4e3a\u89e3\u51b3\u8fd9\u4e9b\u666e\u904d\u6027\u95ee\u9898\u63d0\u4f9b\u4e86\u4e00\u4e2a\u521b\u65b0\u7684\u8303\u5f0f\u3002\u5176\u6838\u5fc3\u601d\u60f3\u662f\u6784\u5efa\u4e00\u4e2a\u201c\u601d\u8003-\u884c\u52a8-\u89c2\u5bdf\u201d\u7684\u95ed\u73af\u7cfb\u7edf\uff0c\u901a\u8fc7LLM\u4f5c\u4e3a\u534f\u8c03\u8005\uff0c\u5c06\u5404\u7c7b\u4e13\u4e1a\u5de5\u5177\u6709\u673a\u6574\u5408\u3002\u5177\u4f53\u800c\u8a00\uff0c\u8be5\u7cfb\u7edf\u5305\u542b\u4e09\u4e2a\u5173\u952e\u521b\u65b0\uff1a\u9996\u5148\uff0c\u5b83\u5efa\u7acb\u4e86\u4e00\u4e2a\u57fa\u4e8e\u81ea\u7136\u8bed\u8a00\u7684\u4efb\u52a1\u89c4\u5212\u6846\u67b6\uff0c\u80fd\u5c06\u590d\u6742\u7684\u7814\u7a76\u76ee\u6807\u5206\u89e3\u4e3a\u5177\u4f53\u7684\u64cd\u4f5c\u6b65\u9aa4\uff1b\u5176\u6b21\uff0c\u5b83\u8bbe\u8ba1\u4e86\u4e00\u5957\u5de5\u5177\u8c03\u7528\u673a\u5236\uff0c\u4f7fLLM\u80fd\u6839\u636e\u9700\u6c42\u7cbe\u786e\u8c03\u7528\u76f8\u5e94\u7684\u4e13\u4e1a\u5de5\u5177\uff1b\u6700\u540e\uff0c\u5b83\u5b9e\u73b0\u4e86\u4e00\u4e2a\u52a8\u6001\u53cd\u9988\u7cfb\u7edf\uff0c\u80fd\u6839\u636e\u6267\u884c\u7ed3\u679c\u5b9e\u65f6\u8c03\u6574\u7b56\u7565\u3002<\/span><\/span><\/p>\n

    ChemCrow\u7684\u6210\u529f\u610f\u4e49\u8fdc\u8d85\u5316\u5b66\u9886\u57df\u3002\u9996\u5148\uff0c\u5b83\u8bc1\u660e\u4e86\u5c06\u590d\u6742\u7684\u79d1\u7814\u8fc7\u7a0b\u5f62\u5f0f\u5316\u662f\u53ef\u884c\u7684\uff0c\u8fd9\u4e3a\u5176\u4ed6\u9886\u57df\u7684\u8fc7\u7a0b\u81ea\u52a8\u5316\u63d0\u4f9b\u4e86\u91cd\u8981\u53c2\u8003\u3002\u5176\u6b21\uff0c\u5b83\u5c55\u793a\u4e86\u5982\u4f55\u5728\u4fdd\u6301\u7cfb\u7edf\u7075\u6d3b\u6027\u7684\u540c\u65f6\u786e\u4fdd\u7814\u7a76\u7684\u53ef\u9760\u6027\u548c\u53ef\u91cd\u590d\u6027\u3002\u6700\u91cd\u8981\u7684\u662f\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u53ef\u63a8\u5e7f\u7684\u6846\u67b6\uff0c\u8fd9\u4e2a\u6846\u67b6\u53ef\u4ee5\u6839\u636e\u4e0d\u540c\u5b66\u79d1\u7684\u7279\u70b9\u8fdb\u884c\u8c03\u6574\u548c\u6269\u5c55\u3002\u5b83\u4ee3\u8868\u4e86\u79d1\u7814\u6d3b\u52a8\u4ece\u201c\u7ecf\u9a8c\u9a71\u52a8\u201d\u5411\u201c\u7cfb\u7edf\u9a71\u52a8\u201d\u7684\u91cd\u8981\u8f6c\u53d8\uff0c\u9884\u793a\u7740\u4e00\u4e2a\u66f4\u52a0\u81ea\u52a8\u5316\u3001\u89c4\u8303\u5316\u7684\u79d1\u7814\u65b0\u65f6\u4ee3\u7684\u5230\u6765\u3002<\/span><\/span><\/p>\n

    \u9769\u65b0\u4eba\u673a\u534f\u540c\u79d1\u7814\u6a21\u5f0f<\/span><\/span><\/h4>\n
    <\/section>\n

    VISION\u7684\u7cfb\u7edf\u67b6\u6784\u6982\u89c8 | \u6765\u6e90:Mathur, S., van der Vleuten, N., Yager, K. G., & Tsai, E. (2023). VISION: A modular AI assistant for natural human-instrument interaction at scientific user facilities. arXiv preprint arXiv:2412.18161.<\/span><\/span><\/em><\/span><\/p>\n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong>\uff1aVISION[7]\u5f00\u521b\u6027\u5730\u5c06\u6a21\u5757\u5316AI\u67b6\u6784\u5f15\u5165\u79d1\u5b66\u5b9e\u9a8c\uff0c\u901a\u8fc7\u5c06\u4e0d\u540c\u7684\u8ba4\u77e5\u6a21\u5757\u6709\u673a\u6574\u5408\uff0c\u5b9e\u73b0\u4e86\u9996\u4e2a\u5168\u9762\u7684\u81ea\u7136\u8bed\u8a00\u5b9e\u9a8c\u63a7\u5236\u7cfb\u7edf\u3002\u5b83\u4e3a\u4eba\u673a\u534f\u540c\u79d1\u7814\u63d0\u4f9b\u4e86\u65b0\u7684\u4ea4\u4e92\u8303\u5f0f\u3002<\/span><\/span><\/p>\n

    \u79d1\u5b66\u5b9e\u9a8c\u8bbe\u5907\u7684\u64cd\u4f5c\u4e00\u76f4\u662f\u4e00\u4e2a\u4e13\u4e1a\u6027\u5f88\u5f3a\u7684\u9886\u57df<\/span><\/span>\uff0c<\/span><\/span>\u4f20\u7edf\u4e0a\u9700\u8981\u7814\u7a76\u4eba\u5458\u638c\u63e1\u590d\u6742\u7684\u4e13\u4e1a\u64cd\u4f5c\u754c\u9762\u548c\u547d\u4ee4\u3002\u8fd9\u4e0d\u4ec5\u7ed9\u7814\u7a76\u4eba\u5458\u5e26\u6765\u5f88\u5927\u7684\u5b66\u4e60\u8d1f\u62c5\uff0c\u4e5f\u6210\u4e3a\u79d1\u7814\u81ea\u52a8\u5316\u7684\u91cd\u8981\u969c\u788d\u3002\u5982\u4f55\u8ba9\u79d1\u5b66\u5bb6\u80fd\u591f\u7528\u81ea\u7136\u8bed\u8a00\u4e0e\u79d1\u7814\u8bbe\u5907\u76f4\u63a5\u201c\u5bf9\u8bdd\u201d\uff0c\u8ba9\u8bbe\u5907\u7406\u89e3\u5e76\u6267\u884c\u7814\u7a76\u4eba\u5458\u7684\u610f\u56fe\uff0c\u8fd9<\/span><\/span>=<\/span><\/span>\u662f\u4e00\u4e2a\u5177\u6709\u91cd\u8981\u610f\u4e49\u53c8\u5145\u6ee1\u6311\u6218\u7684\u8bfe\u9898\u3002<\/span><\/span><\/p>\n

    VISION\u7684\u7a81\u7834\u6027\u5728\u4e8e\u5b83\u63d0\u51fa\u4e86\u4e00\u79cd\u521b\u65b0\u7684\u6a21\u5757\u5316AI\u67b6\u6784\u3002\u7cfb\u7edf\u7531\u591a\u4e2a\u529f\u80fd\u6a21\u5757<\/span>\uff08Cognitive Blocks\uff09<\/span>\u7ec4\u6210<\/span><\/span>\uff0c<\/span><\/span>\u6bcf\u4e2a\u6a21\u5757\u90fd\u57fa\u4e8e\u4e00\u4e2a\u9488\u5bf9\u7279\u5b9a\u4efb\u52a1\u4f18\u5316\u7684\u5927\u8bed\u8a00\u6a21\u578b\u3002\u8fd9\u4e9b\u6a21\u5757\u534f\u540c\u5de5\u4f5c<\/span><\/span>\uff0c<\/span><\/span>\u5171\u540c\u5b8c\u6210\u4ece\u8bed\u97f3\u8bc6\u522b\u3001\u610f\u56fe\u7406\u89e3\u5230\u4efb\u52a1\u89c4\u5212\u548c\u4ee3\u7801\u751f\u6210\u7684\u5168\u6d41\u7a0b\u3002<\/span><\/span><\/p>\n

    \u5177\u4f53\u6765\u8bf4\uff0c\u7cfb\u7edf\u5305\u542b\u8f6c\u5f55\u5668<\/span>\uff08Transcriber\uff09<\/span>\u3001\u5206\u7c7b\u5668<\/span>\uff08Classifier\uff09<\/span>\u3001\u64cd\u4f5c\u5458<\/span>\uff08Operator\uff09<\/span>\u548c\u5206\u6790\u5e08<\/span>\uff08Analyst\uff09<\/span>\u7b49\u5173\u952e\u6a21\u5757\u3002\u8fd9\u4e9b\u6a21\u5757\u4ee5\u5de5\u4f5c\u6d41<\/span><\/span>\uff08<\/span><\/span>Workflow<\/span><\/span>\uff09<\/span><\/span>\u7684\u5f62\u5f0f\u8fdb\u884c\u7ec4\u7ec7\u548c\u8c03\u5ea6\u3002\u5f53\u7528\u6237\u53d1\u51fa\u4e00\u4e2a\u8bf7\u6c42\u65f6\uff0c\u7cfb\u7edf\u9996\u5148\u5224\u65ad\u5176\u5c5e\u4e8e\u6570\u636e\u91c7\u96c6\u3001\u5206\u6790\u8fd8\u662f\u5176\u4ed6\u7c7b\u578b\uff0c\u7136\u540e\u8c03\u7528\u76f8\u5e94\u7684\u5de5\u4f5c\u6d41\u5904\u7406\u3002\u6700\u540e\uff0c\u7cfb\u7edf\u5c06\u751f\u6210\u7684\u4ee3\u7801\u6216\u5206\u6790\u7ed3\u679c\u8fd4\u56de\u7ed9\u7528\u6237\u786e\u8ba4\uff0c\u5e76\u5728\u83b7\u5f97\u8bb8\u53ef\u540e\u63d0\u4ea4\u7ed9\u5e95\u5c42\u7684\u5b9e\u9a8c\u63a7\u5236\u5e73\u53f0\u6267\u884c\u3002\u6574\u4e2a\u8fc7\u7a0b\u4e2d\uff0c\u7528\u6237\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u4e0e\u7cfb\u7edf\u4ea4\u4e92\uff0c\u65e0\u9700\u4e86\u89e3\u590d\u6742\u7684\u6280\u672f\u7ec6\u8282\u3002<\/span><\/span><\/p>\n

    VISION\u7684\u610f\u4e49\u5728\u4e8e\u5b83\u5f00\u521b\u4e86\u4e00\u79cd\u5168\u65b0\u7684\u4eba\u673a\u4ea4\u4e92\u8303\u5f0f\u3002\u901a\u8fc7\u6a21\u5757\u5316\u7684\u67b6\u6784\u8bbe\u8ba1\uff0c\u5b83\u5145\u5206\u5229\u7528\u4e86\u5927\u8bed\u8a00\u6a21\u578b\u5728\u4e0d\u540c\u4efb\u52a1\u4e0a\u7684\u7279\u957f\uff0c\u5b9e\u73b0\u4e86\u5168\u9762\u7684\u8bed\u8a00\u7406\u89e3\u548c\u4efb\u52a1\u6267\u884c\u80fd\u529b\u3002\u540c\u65f6\uff0c\u5b83\u5c06\u524d\u6cbf\u7684AI\u6280\u672f\u4e0e\u4f20\u7edf\u7684\u79d1\u7814\u5de5\u4f5c\u6d41\u7a0b\u5de7\u5999\u7ed3\u5408\uff0c\u6781\u5927\u5730\u63d0\u9ad8\u4e86\u5b9e\u9a8c\u6548\u7387\u548c\u7075\u6d3b\u6027\u3002\u66f4\u91cd\u8981\u7684\u662f\uff0c\u5b83\u4e3a\u5b9e\u73b0\u201c\u7528\u8bed\u8a00\u505a\u5b9e\u9a8c\u201d\u8fd9\u4e00\u79d1\u7814\u4eba\u5458\u7684\u957f\u671f\u613f\u666f\u8fc8\u51fa\u4e86\u5173\u952e\u4e00\u6b65\u3002<\/span><\/span><\/p>\n


    <\/span><\/p>\n

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    <\/span><\/section>\n

    <\/span><\/section>\n
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    <\/section>\n<\/section>\n<\/section>\n
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    \u6311\u6218\u4e0e\u5c55\u671b<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

    \n

    <\/span><\/section>\n

    <\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


    <\/span><\/span><\/p>\n

    \u7136\u800c\uff0c\u57fa\u4e8eLLM\u7684\u79d1\u5b66\u7814\u7a76\u4e5f\u9762\u4e34\u7740\u51e0\u4e2a\u6839\u672c\u6027\u7684\u6311\u6218\uff1a\u5e7b\u89c9\u95ee\u9898\uff0cLLM\u53ef\u80fd\u751f\u6210\u8868\u9762\u4e0a\u5408\u7406\u4f46\u5b9e\u9645\u4e0a\u4e0d\u51c6\u786e\u7684\u5185\u5bb9\uff0c\u8fd9\u5728\u79d1\u5b66\u7814\u7a76\u4e2d\u5c24\u5176\u5371\u9669\uff1b\u521b\u65b0\u7684\u8ba4\u77e5\u8fb9\u754c\u95ee\u9898\uff0cLLM\u7684\u201c\u521b\u65b0\u201d<\/span><\/span>\u6e90\u81ea<\/span><\/span>\u5df2\u6709\u77e5\u8bc6\u7684\u91cd\u7ec4\u548c\u63a8\u7406\uff0c\u8fd9\u4e0e\u771f\u6b63\u7684\u79d1\u5b66\u7a81\u7834\u6027\u53d1\u73b0\u53ef\u80fd\u5b58\u5728\u672c\u8d28\u5dee\u5f02\uff1b\u53ef\u91cd\u590d\u6027\u4e0e\u53ef\u89e3\u91ca\u6027\u7684\u77db\u76fe\uff0c\u79d1\u5b66\u7814\u7a76\u8981\u6c42\u7ed3\u679c\u53ef\u91cd\u590d\u3001\u8fc7\u7a0b\u53ef\u8ffd\u6eaf\uff0c\u4f46LLM\u7684\u9ed1\u76d2\u7279\u6027\u4e0e\u6b64\u5f62\u6210\u672c\u8d28\u51b2\u7a81\u3002<\/span><\/span><\/p>\n

    \u9762\u5411\u672a\u6765\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u9a71\u52a8\u7684\u79d1\u7814\u521b\u65b0\u4e9f\u9700\u5728\u4ee5\u4e0b\u65b9\u5411\u5b9e\u73b0\u7a81\u7834:<\/span><\/span><\/p>\n

    1.\u6784\u5efa\u53ef\u4fe1\u79d1\u7814\u5e73\u53f0\uff1a\u6574\u5408\u8de8\u6a21\u6001\u77e5\u8bc6<\/span><\/span>\uff0c<\/span><\/span>\u5efa\u7acb\u94fe\u4e0a\u53ef\u8ffd\u6eaf\u3001\u8fc7\u7a0b\u53ef\u5ba1\u8ba1\u3001\u7ed3\u679c\u53ef\u590d\u73b0\u7684\u79d1\u7814\u57fa\u7840\u8bbe\u65bd\u3002<\/span><\/span><\/p>\n

    2.\u63a2\u7d22\u4eba\u673a\u534f\u540c\u521b\u65b0\u8303\u5f0f\uff1a\u53d1\u6398\u7814\u7a76\u4eba\u5458\u4e13\u4e1a\u7ecf\u9a8c\u4e0eLLM\u77e5\u8bc6\u5904\u7406\u80fd\u529b\u7684\u6700\u4f73\u534f\u540c\u8def\u5f84<\/span><\/span>\uff0c<\/span><\/span>\u5b9e\u73b0\u8f85\u52a9\u51b3\u7b56\u5230\u8054\u5408\u521b\u65b0\u7684\u8dc3\u5347\u3002<\/span><\/span><\/p>\n

    3.\u63a8\u8fdb\u8de8\u5b66\u79d1\u534f\u540c\u6cbb\u7406\uff1a\u8ba1\u7b97\u673a\u3001\u4f26\u7406\u5b66\u3001\u79d1\u5b66\u54f2\u5b66\u3001\u79d1\u7814\u7ba1\u7406\u7b49\u9886\u57df<\/span><\/span>\uff0c<\/span><\/span>\u9700\u534f\u540c\u63a8\u8fdbLLM\u5728\u79d1\u7814\u9886\u57df\u7684\u8d23\u4efb\u8bc4\u4f30\u3001\u4f26\u7406\u5ba1\u67e5\u3001\u89c4\u8303\u5236\u5b9a\u7b49\u5de5\u4f5c\u3002<\/span><\/span><\/p>\n

    \u79d1\u5b66\u7814\u7a76\u6b63\u5728\u7ecf\u5386\u4e00\u573a\u65b9\u6cd5\u8bba\u7684\u9769\u65b0\u3002\u57fa\u4e8eLLM\u7684\u79d1\u5b66\u7814\u7a76\u4e0d\u4ec5\u63d0\u4f9b\u4e86\u65b0\u7684\u7814\u7a76\u5de5\u5177\uff0c\u66f4\u91cd\u8981\u7684\u662f\u5f00\u521b\u4e86\u4e00\u79cd\u65b0\u7684\u8ba4\u77e5\u8303\u5f0f\u3002\u8fd9\u79cd\u8303\u5f0f\u5c06\u4eba\u7c7b\u7684\u521b\u9020\u529b\u4e0eAI\u7684\u80fd\u529b\u6709\u673a\u7ed3\u5408\uff0c\u6709\u671b\u52a0\u901f\u79d1\u5b66\u53d1\u73b0\u7684\u8fdb\u7a0b\u3002\u968f\u7740\u6280\u672f\u7684\u8fdb\u6b65\u548c\u5e94\u7528\u7684\u6df1\u5165\uff0c\u8fd9\u79cd\u65b0\u8303\u5f0f\u53ef\u80fd\u4f1a\u91cd\u5851\u79d1\u5b66\u7814\u7a76\u7684\u65b9\u5f0f\uff0c\u5f00\u542f\u79d1\u5b66\u63a2\u7d22\u7684\u65b0\u7eaa\u5143\u3002<\/span><\/span><\/p>\n

    \u53c2\u8003\u6587\u732e<\/span><\/span><\/h2>\n

    [1] Birhane, A., et al. “Science in the age of large language models.” Nature Reviews Physics 5 (2023): 277-280.https:\/\/doi.org\/10.1038\/s42254-023-00581-4<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong><\/span>: \u8fd9\u662f\u4e00\u7bc7\u91cd\u8981\u7684\u8bc4\u8bba\u6027\u6587\u7ae0\uff0c\u7531\u56db\u4f4dAI\u4f26\u7406\u548c\u653f\u7b56\u4e13\u5bb6\u64b0\u5199\uff0c\u5168\u9762\u8ba8\u8bba\u4e86LLM\u5728\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u6f5c\u529b\u548c\u98ce\u9669\u3002\u6587\u7ae0\u4e0d\u4ec5\u63d0\u4f9b\u4e86\u6e05\u6670\u7684\u6982\u5ff5\u6846\u67b6\uff0c\u8fd8\u5f15\u53d1\u4e86\u5173\u4e8eLLM\u5728\u79d1\u7814\u4e2d\u5e94\u7528\u7684\u6df1\u5165\u8ba8\u8bba\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [2] Taylor, R., et al. “Galactica: A Large Language Model for Science.” arXiv preprint arXiv:2211.09085 (2022).https:\/\/arxiv.org\/abs\/2211.09085<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong><\/span>: \u8fd9\u662f\u9996\u4e2a\u4e13\u95e8\u9762\u5411\u79d1\u5b66\u6587\u732e\u8bad\u7ec3\u7684\u5927\u89c4\u6a21\u8bed\u8a00\u6a21\u578b\u7684\u6280\u672f\u62a5\u544a\uff0c\u8be6\u7ec6\u63cf\u8ff0\u4e86\u6a21\u578b\u67b6\u6784\u3001\u8bad\u7ec3\u7b56\u7565\u548c\u8bc4\u4f30\u7ed3\u679c\u3002\u867d\u7136\u6a21\u578b\u6700\u7ec8\u4e0b\u7ebf\uff0c\u4f46\u5176\u6280\u672f\u521b\u65b0\u548c\u5931\u8d25\u6559\u8bad\u90fd\u5177\u6709\u91cd\u8981\u7684\u53c2\u8003\u4ef7\u503c\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [3] Luo, R., et al. “BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining.” Briefings in Bioinformatics 23.6 (2022): bbac409.https:\/\/doi.org\/10.1093\/bib\/bbac409<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong><\/span>: \u8fd9\u7bc7\u8bba\u6587\u4ecb\u7ecd\u4e86\u4e13\u95e8\u9488\u5bf9\u751f\u7269\u533b\u5b66\u9886\u57df\u7684\u9884\u8bad\u7ec3\u8bed\u8a00\u6a21\u578b\uff0c\u5c55\u793a\u4e86\u9886\u57df\u7279\u5b9aLLM\u7684\u6f5c\u529b\uff0c\u4e3a\u5176\u4ed6\u5782\u76f4\u9886\u57df\u7684\u6a21\u578b\u5f00\u53d1\u63d0\u4f9b\u4e86\u91cd\u8981\u53c2\u8003\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [4] Bran, A.M., et al. “Augmenting large language models with chemistry tools.” Nature Machine Intelligence 6 (2024): 525-535.https:\/\/doi.org\/10.1038\/s42256-024-00832-8<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong><\/span>: \u8fd9\u7bc7\u53d1\u8868\u5728Nature Machine Intelligence\u7684\u8bba\u6587\u5c55\u793a\u4e86\u5982\u4f55\u5c06LLM\u4e0e\u4e13\u4e1a\u5de5\u5177\u7ed3\u5408\uff0c\u5b9e\u73b0\u79d1\u7814\u6d41\u7a0b\u7684\u81ea\u52a8\u5316\u3002\u6587\u7ae0\u63d0\u4f9b\u4e86\u8be6\u7ec6\u7684\u7cfb\u7edf\u8bbe\u8ba1\u548c\u5b9e\u9a8c\u9a8c\u8bc1\uff0c\u5177\u6709\u5f88\u5f3a\u7684\u5b9e\u8df5\u6307\u5bfc\u610f\u4e49\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [5] Bolton, E., et al. “BioMedLM: A 2.7B Parameter Language Model Trained on Biomedical Text.” arXiv preprint arXiv:2403.18421 (2024).https:\/\/arxiv.org\/abs\/2403.18421<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong><\/span>: \u8fd9\u662f\u4e00\u4e2a\u9488\u5bf9\u751f\u7269\u533b\u5b66\u9886\u57df\u7684\u5f00\u6e90\u8bed\u8a00\u6a21\u578b\uff0c\u8bba\u6587\u8be6\u7ec6\u63cf\u8ff0\u4e86\u6a21\u578b\u8bad\u7ec3\u8fc7\u7a0b\u548c\u591a\u4efb\u52a1\u5b66\u4e60\u80fd\u529b\uff0c\u4e3a\u751f\u7269\u533b\u5b66\u9886\u57df\u7684AI\u5e94\u7528\u63d0\u4f9b\u4e86\u91cd\u8981\u5de5\u5177\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [6] Mathur, S., et al. “VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilities.” arXiv preprint arXiv:2412.18161 (2023).https:\/\/arxiv.org\/abs\/2412.18161<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong><\/span>: \u8fd9\u7bc7\u9884\u5370\u672c\u8be6\u7ec6\u63cf\u8ff0\u4e86\u4e00\u4e2a\u521b\u65b0\u7684\u6a21\u5757\u5316AI\u7cfb\u7edf\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u5b9e\u73b0\u79d1\u7814\u8bbe\u5907\u63a7\u5236\uff0c\u4e3a\u63d0\u9ad8\u5b9e\u9a8c\u6548\u7387\u63d0\u4f9b\u4e86\u65b0\u601d\u8def\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [7] Singhal, K., et al. “Large Language Models Encode Clinical Knowledge.” Nature 620.7972 (2023): 172-180.https:\/\/doi.org\/10.1038\/s41586-023-06291-2<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong><\/span>: \u8fd9\u7bc7Nature\u8bba\u6587\u5c55\u793a\u4e86LLM\u5728\u533b\u5b66\u9886\u57df\u7684\u5e94\u7528\u6f5c\u529b\uff0c\u7279\u522b\u662f\u5728\u533b\u5b66\u77e5\u8bc6\u7406\u89e3\u548c\u56fe\u50cf\u5206\u6790\u65b9\u9762\u7684\u7a81\u7834\uff0c\u4e3a\u533b\u5b66AI\u7684\u53d1\u5c55\u63d0\u4f9b\u4e86\u91cd\u8981\u53c2\u8003\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    [8] Lin, Z., et al. “GeoGalactica: A Scientific Large Language Model in Geoscience.” arXiv preprint arXiv:2401.00434 (2024).https:\/\/arxiv.org\/abs\/2401.00434<\/span><\/span><\/p>\n\n\n\n
    \n

    \u63a8\u8350\u7406\u7531<\/span><\/span><\/strong><\/span>: \u8fd9\u7bc7\u8bba\u6587\u4ecb\u7ecd\u4e86\u5982\u4f55\u5c06Galactica\u7684\u67b6\u6784\u5e94\u7528\u5230\u5730\u7403\u79d1\u5b66\u9886\u57df\uff0c\u5c55\u793a\u4e86\u4e13\u4e1a\u9886\u57df\u5927\u6a21\u578b\u7684\u53d1\u5c55\u6f5c\u529b\uff0c\u4e3a\u5176\u4ed6\u5b66\u79d1\u7684\u6a21\u578b\u5f00\u53d1\u63d0\u4f9b\u4e86\u501f\u9274\u3002<\/span><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


    <\/span><\/strong><\/p>\n


    <\/span><\/p>\n

    \n

    \u51fa\u54c1<\/span><\/span><\/strong>\uff1a\u6f06\u8fdc\u3001\u5434\u529b\u6ce2\u3001\u5f20\u6c5f<\/span><\/span><\/span><\/p>\n

    \u8fd0\u8425<\/span><\/span><\/strong>\uff1a\u5b5f\u664b\u5b87\u3001\u738b\u5a77<\/span><\/span><\/p>\n

    \u64b0\u7a3f<\/span><\/span><\/strong>\uff1a\u5f20\u6c5f\u3001\u6768\u71d5\u9752\u3001\u738b\u5a77\u3001\u738b\u671d\u4f1a\u3001\u5341\u4e09\u7ef4\u3001\u5468\u8389\u3001\u6881\u91d1\u3001\u8881\u51b0\u3001\u6c5f\u5343\u6708\u3001\u5218\u5fd7\u6bc5<\/span><\/span><\/p>\n

    \u9e23\u8c22<\/span><\/span><\/strong>\uff08\u6309\u59d3\u6c0f\u62fc\u97f3\u987a\u5e8f\uff0c\u6392\u540d\u4e0d\u5206\u5148\u540e\uff09\uff1a<\/span><\/span><\/p>\n

    \u66f9\u98ce\u96f7 \u3001\u9648\u5c0f\u6768 \u3001\u7a0b\u8fdc\u3001\u675c\u6c85\u5c82 \u3001\u6bb5\u90c1\u3001\u65b9\u69af\u6977 \u3001\u4ed8\u5f66\u4f1f\u3001 \u9ad8\u60a6\u3001\u9ec4\u67ef\u946b\u3001\u674e\u660a\u3001\u5218\u5723\u8d85\u3001\u8c2d\u4f1f\u654f\u3001\u5434\u6cf0\u9716\u3001\u5434\u8273\u73b2\u3001\u5411\u7ea2\u519b\u3001\u5f20\u9aa5\u3001\u5f20\u8273\u3001\u6731\u601d\u8bed<\/span><\/span><\/p>\n<\/blockquote>\n


    <\/span><\/p>\n


    <\/span><\/p>\n


    <\/span><\/p>\n

    <\/section>\n


    <\/span><\/p>\n

    \n
    \n
    \n
    \n

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

    \n


    <\/span><\/span><\/p>\n<\/section>\n

    <\/span><\/section>\n

    \"\u56fe\u7247\"<\/span><\/a><\/p>\n

    <\/span><\/p>\n

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    \u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/span><\/span><\/section>\n
    \u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u53d1\u73b0\u76f8\u4e92\u8d4b\u80fd\u7684\u65b0\u8303\u5f0f\uff1aAI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/span><\/span><\/section>\n

    <\/span><\/section>\n

    <\/span><\/section>\n
    \u63a8\u8350\u9605\u8bfb<\/span><\/span><\/strong><\/strong><\/strong><\/section>\n
    <\/strong><\/section>\n
    1. \u300aAI X Science\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u300b\u53d1\u5e03\uff1a35\u4e2a\u7814\u7a76\u524d\u6cbf\uff0c\u5f00\u542f\u79d1\u5b66\u53d1\u73b0\u7684\u9ec4\u91d1\u65f6\u4ee3<\/span><\/a><\/span><\/strong>
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    2. AI \u79d1\u5b66\u5bb6\u5e2e\u52a9\u53d1\u73b0\u65b0\u7684\u7269\u7406\u5b66\u5b9a\u5f8b<\/span><\/a><\/span><\/strong>
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    3. AI\u79d1\u5b66\u5bb6\uff1a\u81ea\u52a8\u53d1\u73b0\u7269\u7406\u7cfb\u7edf\u7684\u9690\u85cf\u72b6\u6001\u53d8\u91cf<\/span><\/a><\/span><\/strong><\/section>\n
    <\/strong><\/section>\n
    4. <\/span><\/strong><\/span>\u6e38\u620f\u5316\u79d1\u7814\u2014\u2014\u8ba9\u6211\u4eec\u7a81\u7834\u5185\u5377\u3001\u5171\u7814\u6d8c\u73b0<\/a><\/span><\/strong><\/strong><\/span><\/section>\n
    <\/strong>5. <\/span><\/strong>\u63a2\u7d22\u8005\u8ba1\u5212 | \u96c6\u667a\u4ff1\u4e50\u90e82025\u5185\u5bb9\u56e2\u961f\u62db\u52df\uff08\u5168\u804c&\u517c\u804c\uff09<\/a><\/span><\/strong><\/span><\/section>\n

    6. \u52a0\u5165\u96c6\u667a\uff0c\u73a9\u8f6c\u590d\u6742\uff0c\u5171\u521b\u6591\u56fe\uff01\u96c6\u667a\u4ff1\u4e50\u90e8\u7ebf\u4e0b\u5fd7\u613f\u8005\u62db\u52df<\/span><\/a><\/span><\/strong>
    <\/span><\/strong><\/span><\/p>\n


    <\/span><\/p>\n


    <\/span><\/span><\/p>\n

    \u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/span><\/section>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    \u5bfc\u8bed \u4e0a\u6d77\u79d1\u5b66\u667a\u80fd\u7814\u7a76\u9662\u3001\u96c6\u667a\u79d1\u5b66\u7814\u7a76\u4e2d\u5fc3\u548c\u963f\u91cc\u4e91\u8054\u5408\u53d1\u5e03\u4e86\u300aAI X Science\u5341\u5927\u524d\u6cbf\u89c2\u5bdf\u300b\uff0c\u68b3\u7406\u51fa35\u4e2a\u7814\u7a76\u524d\u6cbf\uff0c\u6765\u63a8\u52a8\u79d1\u5b66\u53d1\u5c55\u7684\u9ec4\u91d1\u65f6\u4ee3\u5230\u6765\u3002\u672c\u7bc7\u4e3a\u524d\u6cbf\u89c2\u5bdf1\uff0c\u626b\u63cf\u4e0b\u65b9\u4e8c\u7ef4\u7801\u53ef\u83b7\u5f97\u5b8c\u6574\u7248\u4e0b\u8f7d\u5730\u5740\u3001\u5feb\u901f\u94fe\u63a5\u8bba\u6587\u539f\u6587\u3002 \u626b\u63cf\u4e8c\u7ef4\u7801 \u4e0b\u8f7d\u5b8c\u6574\u62a5\u544a \u57fa\u4e8eLLM\u7684\u79d1\u5b66\u7814\u7a76 \u80cc\u666f\u4ecb\u7ecd \u8fd1\u5e74\u6765\uff0c\u5927\u8bed\u8a00…<\/p>\n","protected":false},"author":0,"featured_media":59018,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/59028"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=59028"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/59028\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/59018"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=59028"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=59028"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=59028"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=59028"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}