{"id":42589,"date":"2023-05-19T17:02:12","date_gmt":"2023-05-19T09:02:12","guid":{"rendered":"https:\/\/swarma.org\/?p=42589"},"modified":"2023-05-19T17:02:12","modified_gmt":"2023-05-19T09:02:12","slug":"%e8%a7%a3%e9%87%8a%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%ef%bc%9a%e5%9c%a8-alpaca-%e4%b8%ad%e8%af%86%e5%88%ab%e5%9b%a0%e6%9e%9c%e6%9c%ba%e5%88%b6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=42589","title":{"rendered":"\u89e3\u91ca\u5927\u8bed\u8a00\u6a21\u578b\uff1a\u5728 Alpaca \u4e2d\u8bc6\u522b\u56e0\u679c\u673a\u5236"},"content":{"rendered":"
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\u65af\u5766\u798f\u5927\u5b66\u7684 Alpaca \u6a21\u578b\u662f\u7528\u4e8e\u5b66\u672f\u7814\u7a76\u7684\u6307\u4ee4\u9075\u5faa\u8bed\u8a00\u6a21\u578b\uff08instruction-following language model\uff09\u3002\u5728\u8fd1\u65e5\u65b0\u53d1\u8868\u7684\u8bba\u6587\u201c\u89e3\u91ca\u5927\u8bed\u8a00\u6a21\u578b\uff1a\u5728 Alpaca \u4e2d\u8bc6\u522b\u56e0\u679c\u673a\u5236\u201d\u4e2d\uff0c\u7814\u7a76\u8005\u63d0\u51fa\u4e00\u79cd\u901a\u7528\u7684\u56e0\u679c\u673a\u5236\u53d1\u73b0\u6846\u67b6\uff0c\u4f7f\u7528\u8be5\u5de5\u5177\uff0cAlpaca \u6a21\u578b\u5728\u7b80\u5355\u7684\u6570\u5b57\u63a8\u7406\u4efb\u52a1\u4e2d\u5b9e\u73b0\u4e86\u5177\u6709\u53ef\u89e3\u91ca\u4e2d\u95f4\u53d8\u91cf\u7684\u56e0\u679c\u6a21\u578b\u3002\u8fd9\u4e9b\u56e0\u679c\u6a21\u578b\u5bf9\u4e8e\u8f93\u5165\u548c\u6307\u4ee4\u7684\u53d8\u5316\u5177\u6709\u9c81\u68d2\u6027\u3002\u8be5\u6846\u67b6\u4e5f\u9002\u7528\u4e8e\u62e5\u6709\u6570\u5341\u4ebf\u53c2\u6570\u7684\u5927\u8bed\u8a00\u6a21\u578b\u3002<\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/p>\n


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\u5173\u952e\u8bcd\uff1a\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u56e0\u679c\u53d1\u73b0<\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/section>\n
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\u8bba\u6587\u9898\u76ee\uff1aInterpretability at Scale: Identifying Causal Mechanisms in Alpaca<\/span><\/h1>\n
\u8bba\u6587\u94fe\u63a5\uff1a<\/span><\/section>\n
https:\/\/arxiv.org\/abs\/2305.08809<\/span><\/section>\n
\u4f5c\u8005\uff1a<\/span>Zhengxuan Wu\uff08\u5434\u653f\u7487\uff09, Atticus Geiger, Christopher Potts, Noah Goodman<\/span><\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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Alpaca \u6a21\u578b<\/span><\/section>\n
https:\/\/crfm.stanford.edu\/2023\/03\/13\/alpaca.html<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u5982\u4f55\u5728\u5927\u8bed\u8a00\u6a21\u578b\u4e2d\u5bfb\u627e\u56e0\u679c\u673a\u5236\uff1f<\/strong><\/strong><\/p>\n<\/section>\n

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\u73b0\u6709\u7684\u53ef\u89e3\u91ca\u6027\u5de5\u5177\u5728\u6570\u4ebf\u53c2\u6570\u8bed\u8a00\u6a21\u578b\u4e0a\u901a\u5e38\u65e0\u6cd5\u9002\u914d\uff0c\u56e0\u4e3a\u5b83\u4eec\u5f80\u5f80\u4e13\u6ce8\u4e8e\u4e3a\u7279\u5b9a\u4efb\u52a1\u5fae\u8c03\u7684\u5c0f\u578b\u6a21\u578b\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u56e0\u679c\u62bd\u8c61<\/strong><\/span> (causal abstraction) <\/span>\u7406\u8bba<\/span><\/strong>\u7684\u65b0\u65b9\u6cd5\uff0c\u4ee5\u627e\u5230\u5728\u6a21\u578b\u4e2d\u626e\u6f14\u7ed9\u5b9a\u56e0\u679c\u89d2\u8272\u7684\u9690\u85cf\u8868\u8fbe <\/span>(hidden representation)<\/span>\u3002\u901a\u8fc7\u4f7f\u7528\u6211\u4eec\u7684\u5de5\u5177\uff0c\u6211\u4eec\u53d1\u73b0Alpaca\u6a21\u578b\u5728\u89e3\u51b3\u7b80\u5355\u7684\u6570\u5b57\u63a8\u7406\u4efb\u52a1\u65f6\u5b9e\u73b0\u4e86\u5177\u6709\u53ef\u89e3\u91ca\u4e2d\u95f4\u53d8\u91cf\u7684\u56e0\u679c\u6a21\u578b<\/strong>\u3002\u6b64\u5916\uff0c\u6211\u4eec\u53d1\u73b0\u8fd9\u4e9b\u56e0\u679c\u6a21\u578b\u5bf9\u4e8e\u8f93\u5165\u548c\u6307\u4ee4\u7684\u53d8\u5316\u5177\u6709\u9c81\u68d2\u6027<\/span> (robustness)<\/span>\u3002\u6211\u4eec\u7684\u56e0\u679c\u673a\u5236\u53d1\u73b0\u6846\u67b6\u662f\u901a\u7528\u7684\uff0c\u5e76\u4e14\u53ef\u4ee5\u9002\u7528\u4e8e\u62e5\u6709\u6570\u5341\u4ebf\u53c2\u6570\u7684\u5927\u8bed\u8a00\u6a21\u578b\u3002<\/span><\/section>\n

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\u56fe1. Alpaca\u6a21\u578b\u88ab\u8981\u6c42\u89e3\u51b3\u4ef7\u683c\u6807\u7b7e\u6e38\u620f<\/span><\/span><\/section>\n

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\u5728\u8fd9\u4e2a\u56fe\u4e2d\uff0cAlpaca\u6a21\u578b\u88ab\u8981\u6c42\u89e3\u51b3\u4ef7\u683c\u6807\u7b7e\u6e38\u620f\uff0c<\/span><\/section>\n

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\u201c\u5982\u679c\u6210\u672c\uff08Z\uff09\u5728 2.00\uff08X\uff09\u548c 3.00\uff08Y\uff09\u7f8e\u5143\u4e4b\u95f4\uff0c\u5219\u56de\u7b54\u662f\uff0c\u5426\u5219\u56de\u7b54\u5426\u3002\u201d<\/span><\/section>\n

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\u5728\u4e0a\u56fe\u7684\u9876\u90e8\uff0c\u6211\u4eec\u6709\u4e00\u4e2a\u56e0\u679c\u6a21\u578b\uff0c\u901a\u8fc7\u4e24\u4e2a\u5e03\u5c14\u53d8\u91cf<\/span> (boolean variable)<\/span> \u786e\u5b9a\u8f93\u5165\u91d1\u989d\u662f\u5426\u5728\u4e0b\u9650\u4ee5\u4e0a\u548c\u4e0a\u9650\u4ee5\u4e0b\u6765\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5c1d\u8bd5\u5bf9\u9f50\u7b2c\u4e00\u4e2a\u5e03\u5c14\u53d8\u91cf\u3002\u4e3a\u4e86\u8bad\u7ec3\u5bf9\u9f50\uff0c\u6211\u4eec\u62bd\u53d6\u4e24\u4e2a\u8bad\u7ec3\u6837\u4f8b\uff0c\u7136\u540e\u4ea4\u6362\u5b83\u4eec\u4e4b\u95f4\u7684\u4e2d\u95f4\u5e03\u5c14\u503c\u4ee5\u4f7f\u7528\u6211\u4eec\u7684\u56e0\u679c\u6a21\u578b\u751f\u6210\u4e00\u4e2a\u53cd\u4e8b\u5b9e<\/span> (counterfactual) <\/span>\u7684\u8f93\u51fa\u3002\u540c\u65f6\uff0c\u6211\u4eec\u4f7f\u7528\u5efa\u8bae\u5bf9\u9f50\u7684\u795e\u7ecf\u5143\u4ea4\u6362\u8fd9\u4e24\u4e2a\u6837\u4f8b\u4e4b\u95f4\u7684\u6fc0\u6d3b\u3002\u6700\u540e\uff0c\u6211\u4eec\u8bad\u7ec3\u65cb\u8f6c\u77e9\u9635\uff0c\u4f7f\u5f97\u795e\u7ecf\u7f51\u7edc\u7684\u884c\u4e3a\u4e0e\u56e0\u679c\u6a21\u578b\u4ea7\u751f\u76f8\u540c\u7684\u53cd\u4e8b\u5b9e\u7ed3\u679c\u3002<\/span><\/section>\n

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\u83b7\u53d6\u5927\u578b\u901a\u7528\u8bed\u8a00\u6a21\u578b\u7684\u5177\u6709\u9c81\u68d2\u6027\u7684\u3001\u6613\u4e8e\u7406\u89e3\u7684\u89e3\u91ca\u662f\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u91cd\u8981\u76ee\u6807\u3002\u76ee\u524d\u7684\u5de5\u5177\u5b58\u5728\u4ee5\u4e0b\u4e3b\u8981\u9650\u5236\uff1a<\/span><\/p>\n

1. \u641c\u7d22\u7a7a\u95f4\u592a\u5927<\/strong>: LLM\u5177\u6709\u6570\u5341\u4ebf\u7684\u53c2\u6570\uff0c\u5e8f\u5217\u8868\u793a\u968f\u957f\u5ea6\u589e\u52a0\u800c\u589e\u52a0\u3002\u795e\u7ecf\u5143\u7684\u641c\u7d22\u7a7a\u95f4\u901a\u5e38\u592a\u5927\uff0c\u65e0\u6cd5\u4f7f\u7528\u4efb\u4f55\u542f\u53d1\u5f0f\u641c\u7d22\u5de5\u5177\u3002<\/span><\/p>\n

2. \u8868\u8fbe\u662f\u5206\u5e03\u5f0f\u7684<\/strong>: LLM\u4e2d\u5355\u4e2a\u795e\u7ecf\u5143\u7684\u6fc0\u6d3b\u4e0e\u6982\u5ff5<\/span> (concept) <\/span>\u4e4b\u95f4\u7684\u6620\u5c04\u901a\u5e38\u662f\u591a\u5bf9\u591a\u800c\u4e0d\u662f\u4e00\u5bf9\u4e00\u7684\u3002\u5148\u524d\u7684\u5de5\u4f5c\u58f0\u79f0\u4e00\u7ec4\u795e\u7ecf\u5143\u8868\u793a\u4e00\u4e2a\u7b80\u5355\u7684\u6982\u5ff5<\/span>\uff08\u4f8b\u5982\u6027\u522b\uff09<\/span>\uff0c\u53ef\u80fd\u662f\u865a\u5047\u7684\uff0c\u56e0\u4e3a\u795e\u7ecf\u5143\u53ef\u4ee5\u7f16\u7801\u66f4\u590d\u6742\u7684\u5185\u5bb9<\/span>\uff08\u4f8b\u5982\u591a\u4e2a\u6982\u5ff5\u7684\u53e0\u52a0\uff09<\/span>\u3002<\/span><\/p>\n

3. \u6781\u4f4e\u7684\u9c81\u68d2\u6027<\/strong>: \u4ee5\u524d\u7684\u5de5\u4f5c\u4e2d\u627e\u5230\u7684\u56e0\u679c\u673a\u5236\u901a\u5e38\u5047\u8bbe\u4e3a\u7279\u5b9a\u4efb\u52a1\u5fae\u8c03\u7684\u6a21\u578b\uff0c\u751a\u81f3\u5e26\u6709\u56fa\u5b9a\u957f\u5ea6\u8f93\u5165\u548c\u56fa\u5b9a\u6a21\u677f\u3002\u6211\u4eec\u4e0d\u786e\u5b9a\u8fd9\u4e9b\u5bf9\u9f50\u662f\u5426\u5177\u6709\u6cdb\u5316\u6027\uff0c\u5982\u679c\u5177\u6709\u6cdb\u5316\u6027\uff0c\u6cdb\u5316\u7a0b\u5ea6\u5982\u4f55\u3002<\/span><\/section>\n

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\u6211\u4eec\u8bd5\u56fe\u89e3\u51b3\u6240\u6709\u8fd9\u4e9b\u9650\u5236\uff0c\u5e76\u5728\u6700\u8fd1\u53d1\u5e03\u7684Alpaca 7B\u6a21\u578b\u4e0a\u5c55\u793a\u6211\u4eec\u7684\u6846\u67b6[1]\u3002<\/span><\/section>\n
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\u6211\u4eec\u5c06\u6700\u8fd1\u63d0\u51fa\u7684\u5206\u5e03\u5f0f\u5bf9\u9f50\u641c\u7d22<\/span>\uff08DAS)<\/span> [2] \u8c03\u6574\u4e3a\u5c06\u5bf9\u9f50\u8fc7\u7a0b\u8f6c\u5316\u4e3a\u4e00\u4e2a\u4f18\u5316\u95ee\u9898\u3002\u5728DAS\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u68af\u5ea6\u4e0b\u964d\u65b9\u6cd5\u627e\u5230\u9ad8\u5c42\u6a21\u578b\u548c\u4f4e\u5c42\u6a21\u578b\u4e4b\u95f4\u7684\u5bf9\u9f50\uff0c\u800c\u4e0d\u662f\u8fdb\u884c\u66b4\u529b\u641c\u7d22\uff0c\u5e76\u4e14\u901a\u8fc7\u5206\u6790\u975e\u6807\u51c6\u57fa\u7684\u8868\u793a\u5f62\u5f0f-\u5206\u5e03\u5f0f\u8868\u793a\uff0c\u6211\u4eec\u5141\u8bb8\u5355\u4e2a\u795e\u7ecf\u5143\u626e\u6f14\u591a\u4e2a\u4e0d\u540c\u7684\u89d2\u8272\u3002<\/span><\/section>\n

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\u56fe2. \u5206\u5e03\u5f0f\u4e92\u6362\u5e72\u9884\u7684\u4f8b\u5b50<\/span><\/span><\/section>\n

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\u8fd9\u5f20\u56fe<\/span>\uff08\u4ece\u539f\u59cb\u8bba\u6587\u4e2d\u590d\u5236\uff09<\/span>\u5c55\u793a\u4e86\u4e00\u4e2a\u5206\u5e03\u5f0f\u4e92\u6362\u5e72\u9884\u7684\u4f8b\u5b50\uff0c\u5f53\u8bad\u7ec3DAS\u65f6\u4f7f\u7528\u3002\u5b83\u663e\u793a\u4e86\u6211\u4eec\u7b2c\u4e00\u5f20\u56fe\u4e2d\u65cb\u8f6c\u77e9\u9635\u8bad\u7ec3\u8fc7\u7a0b\u7684\u653e\u5927\u7248\u672c\u3002\u57fa\u672c\u4e0a\uff0c\u6211\u4eec\u5bf9\u6240\u6709\u8f93\u5165\u8fdb\u884c\u6b63\u5411\u4f20\u9012\uff0c\u5e76\u5728\u6211\u4eec\u8981\u5bf9\u9f50\u7684\u8868\u793a\u5f62\u5f0f\u4e0a\u5e94\u7528\u4e00\u4e2a\u53ef\u5b66\u4e60\u7684\u65cb\u8f6c\u77e9\u9635\u3002\u7136\u540e\uff0c\u6211\u4eec\u5728\u65cb\u8f6c\u540e\u7684\u7a7a\u95f4\u4e2d\u8fdb\u884c\u5e72\u9884\uff0c\u4ee5\u5bf9\u9f50\u6211\u4eec\u9ad8\u5c42\u56e0\u679c\u6a21\u578b\u9884\u6d4b\u7684\u53cd\u4e8b\u5b9e\u884c\u4e3a\u3002<\/span><\/section>\n

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\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u7528\u5b66\u4e60\u53c2\u6570\u66ff\u6362\u5269\u4f59\u7684\u66b4\u529b\u641c\u7d22\u6b65\u9aa4\uff0c\u5927\u5e45\u5ea6\u6269\u5c55\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u63d0\u51fa\u4e86DAS\u7684\u66f4\u65b0\u7248\u672c Boundless DAS<\/strong> \u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5173\u952e\u4f18\u52bf\uff1a<\/span><\/p>\n

1. \u5c06\u641c\u7d22\u8f6c\u5316\u4e3a\u4f18\u5316\u95ee\u9898: \u901a\u8fc7\u5728\u65cb\u8f6c\u7a7a\u95f4\u4e2d\u8fdb\u884c\u5e72\u9884\uff0c\u6211\u4eec\u73b0\u5728\u53ea\u9700\u8981\u68c0\u67e5\u662f\u5426\u53ef\u4ee5\u5b66\u4e60\u4e00\u4e2a\u5fe0\u5b9e\u7684\u65cb\u8f6c\u77e9\u9635<\/span>\uff08\u6709\u5173\u5fe0\u5b9e\u5ea6\u7edf\u4e00\u5ea6\u91cf\uff0c\u8bf7\u53c2\u89c1\u4e0b\u4e00\u8282\uff09<\/span>\uff0c\u4ee5\u8bc4\u4f30\u6240\u63d0\u51fa\u7684\u5bf9\u9f50\u65b9\u6cd5\u3002<\/span><\/p>\n

2. \u5b50\u7a7a\u95f4\u5bf9\u9f50: \u6211\u4eec\u7684\u65cb\u8f6c\u77e9\u9635\u662f\u6b63\u4ea4\u77e9\u9635\uff0c\u5b83\u662f\u6b63\u4ea4\u89c4\u8303\u7684\u3002\u65cb\u8f6c\u540e\u7684\u6bcf\u4e2a\u7ef4\u5ea6\u90fd\u662f\u539f\u59cb\u7ef4\u5ea6\u7684\u7ebf\u6027\u7ec4\u5408\u3002\u5728\u6b63\u4ea4\u5316\u8868\u793a\u4e2d\uff0c\u6bcf\u4e2a\u7ef4\u5ea6\u90fd\u662f\u72ec\u7acb\u7684\uff0c\u8fd9\u5bf9\u4e8e\u5047\u8bbe\u4e2d\u95f4\u53d8\u91cf\u662f\u72ec\u7acb\u7684\u5f88\u6709\u7528\u3002<\/span><\/section>\n
\n


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

 <\/span>
<\/p>\n<\/section>\n

\n
\n
\n
\n
\n

<\/section>\n

<\/section>\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n

Boundless DAS \u4ee3\u7801<\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

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

<\/section>\n
Boundless DAS\u662f\u9002\u7528\u4e8e\u4efb\u4f55\u6a21\u578b\u7684\u901a\u7528\u65b9\u6cd5\u3002\u8fd9\u91cc\u6211\u4eec\u5c55\u793a\u4e86\u4e00\u4e2a\u901a\u7528\u7684\u89e3\u7801\u5668<\/span> (decoder-only)<\/span> LLM\u7684\u4f2a\u4ee3\u7801\u7247\u6bb5\u3002<\/span><\/section>\n

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

<\/p>\n

\u56fe3. \u901a\u7528\u89e3\u7801\u5668 (decoder-only) LLM\u7684\u4f2a\u4ee3\u7801\u7247\u6bb5
<\/span><\/section>\n

<\/span><\/section>\n
\u7406\u60f3\u60c5\u51b5\u4e0b\uff0c\u8fd9\u4e2a\u65b9\u6cd5\u4e5f\u53ef\u4ee5\u6269\u5c55\u5230\u7f16\u7801\u5668-\u89e3\u7801\u5668<\/span> (encoder-decoder) <\/span>LLMs\uff0c\u6216\u8005\u4ec5\u6709\u7f16\u7801\u5668\u7684LLMs\u3002<\/span><\/section>\n
\n

 <\/span>
<\/p>\n<\/section>\n

\n
\n
\n
\n
\n

<\/section>\n

<\/section>\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n

\u7edf\u4e00\u7684\u8bc4\u4f30\u65b9\u5f0f<\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

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

<\/section>\n
\u6211\u4eec\u4f7f\u7528\u524d\u51e0\u7bc7\u56e0\u679c\u62bd\u8c61\u5de5\u4f5c\u4e2d\u63d0\u51fa\u7684\u4e92\u6362\u5e72\u9884\u51c6\u786e\u7387<\/span> (Interchange Intervention Accuracy; IIA) <\/span>[3] [4]\u6765\u8bc4\u4f30\u5728\u65cb\u8f6c\u5b50\u7a7a\u95f4\u4e2d\u5bf9\u9f50\u7684\u51c6\u786e\u6027\u6216\u5fe0\u5b9e\u5ea6\u3002IIA\u8d8a\u9ad8\uff0c\u5bf9\u9f50\u5c31\u8d8a\u597d\u3002\u8fd9\u91cc\u662f\u4e00\u4e2a\u975e\u5e38\u7b80\u5355\u7684\u7b97\u672f\u4efb\u52a1 (a + b) * c \u7684\u793a\u4f8b,<\/span><\/section>\n

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

<\/p>\n

\u56fe4. \u7b97\u672f\u4efb\u52a1 (a + b) * c \u7684\u793a\u4f8b
<\/span><\/section>\n

<\/span><\/section>\n
\u5728\u8fd9\u4e2a\u95ee\u9898\u4e2d\uff0c\u5982\u679c\u6211\u4eec\u6709\u8fd9\u56db\u4e2a\u795e\u7ecf\u5143\u4e0e\u4ee3\u8868 (a + b) \u7684\u4e2d\u95f4\u53d8\u91cf\u5b8c\u7f8e\u5bf9\u9f50\uff0c\u90a3\u4e48\u53ef\u4ee5\u786e\u5b9a\u6027\u5730\u4ece\u4e00\u4e2a\u8f93\u5165 (1 + 2) * 3 \u4e2d\u53d6\u51fa\u8fd9\u56db\u4e2a\u795e\u7ecf\u5143\u7684\u6fc0\u6d3b\uff0c\u5e76\u5c06\u5b83\u4eec\u63d2\u5165\u5230\u53e6\u4e00\u4e2a\u8f93\u5165 (2 + 3) * 4\u4e2d\uff0c\u4f7f\u6a21\u578b\u8f93\u51fa (1 + 2) * 4 = 12\u3002\u6211\u4eec\u79f0\u8fd9\u79cd\u60c5\u51b5\u4e3a\u5b8c\u7f8e\u5bf9\u9f50\uff0cIIA\u4e3a100%\u3002\u6211\u4eec\u4f7f\u7528\u76f8\u540c\u7684\u6307\u6807\u8bc4\u4f30\u5728\u65cb\u8f6c\u5b50\u7a7a\u95f4\u4e2d\u7684\u5bf9\u9f50\u60c5\u51b5\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5bf9\u4e8eBoundless DAS\uff0cIIA\u7684\u542b\u4e49\u7565\u6709\u53d8\u5316: \u5728\u65cb\u8f6c\u5b50\u7a7a\u95f4\u4e2d\u8fbe\u5230100\uff05\u7684IIA\uff0c\u610f\u5473\u7740\u5bf9\u9f50\u7684\u56e0\u679c\u53d8\u91cf\u5728\u539f\u59cb\u8868\u793a\u4e2d\u5206\u5e03\u4e3a100\uff05\u3002\u6211\u4eec\u8fd8\u53ef\u4ee5\u53cd\u5411\u5de5\u7a0b\u5b66\u4e60\u5230\u7684\u65cb\u8f6c\u77e9\u9635\uff0c\u4ee5\u56de\u63a8\u6bcf\u4e2a\u539f\u59cb\u7ef4\u5ea6\u7684\u6743\u91cd\u3002<\/span><\/section>\n

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

 <\/span>
<\/p>\n<\/section>\n

\n
\n
\n
\n
\n

<\/section>\n

<\/section>\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n

\u4e00\u4e2a\u7b80\u5355\u7684\u6570\u5b57\u63a8\u7406\u4efb\u52a1<\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

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

<\/section>\n
\u6211\u4eec\u9996\u5148\u6784\u5efa\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u6570\u5b57\u63a8\u7406\u4efb\u52a1\uff0cAlpaca\u6a21\u578b\u53ef\u4ee5\u76f8\u5f53\u5bb9\u6613\u5730\u89e3\u51b3\u3002<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
\u56fe5. \u5b9a\u4ef7\u6807\u7b7e\u6e38\u620f<\/span><\/section>\n

<\/span><\/section>\n
\u8fd9\u4e2a\u5b9a\u4ef7\u6807\u7b7e\u6e38\u620f\u57fa\u672c\u4e0a\u5305\u542b\u4e09\u4e2a\u90e8\u5206: (1) \u5de6\u62ec\u53f7; (2) \u53f3\u62ec\u53f7; \u548c (3) \u8f93\u5165\u91d1\u989d\u3002\u6709\u51e0\u79cd\u76f4\u89c2\u7684\u56e0\u679c\u6a21\u578b\u53ef\u4ee5\u5b8c\u7f8e\u5730\u89e3\u51b3\u8fd9\u4e2a\u4efb\u52a1\u3002<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
\u56fe6. \u89e3\u51b3\u4efb\u52a1\u7684<\/span>\u51e0\u4e2a\u56e0\u679c\u6a21\u578b
<\/span><\/section>\n

<\/section>\n
\u6211\u4eec\u7684\u4e2d\u5fc3\u7814\u7a76\u95ee\u9898\u662f: Alpaca\u6a21\u578b\u5728\u89e3\u51b3\u8fd9\u4e2a\u4efb\u52a1\u65f6\u662f\u5426\u9075\u5faa\u4e86\u8fd9\u4e9b\u56e0\u679c\u6a21\u578b\u4e4b\u4e00\uff1f\u6211\u4eec\u8bd5\u56fe\u901a\u8fc7\u627e\u5230\u6807\u8bb0\u4e3a\u7ea2\u8272\u7684\u4e2d\u95f4\u56e0\u679c\u53d8\u91cf\u7684\u5bf9\u9f50\u65b9\u5f0f\u6765\u56de\u7b54\u8fd9\u4e2a\u95ee\u9898\u3002<\/span><\/section>\n


<\/h2>\n
\n

 <\/span>
<\/p>\n<\/section>\n

\n
\n
\n
\n
\n

<\/section>\n

<\/section>\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n

\u4e3b\u8981\u7ed3\u679c\uff1a\u6a21\u578b\u9075\u5faa\u54ea\u4e00\u79cd\u56e0\u679c\u673a\u5236\uff1f<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

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

<\/section>\n
\u6211\u4eec\u5728\u4efb\u52a1\u7684\u591a\u4e2a\u5c42\u548c\u4f4d\u7f6e\u4e0a\u4f7f\u7528Boundless DAS\u8bad\u7ec3\u4e86\u6bcf\u4e00\u4e2a\u5355\u8bcd<\/span> (token) <\/span>\u7684\u9690\u6027\u8868\u8fbe\uff0c\u5e76\u5728\u4fdd\u7559\u7684\u6d4b\u8bd5\u96c6\u4e0a\u8bc4\u4f30\u4e86\u5b66\u4e60\u5230\u7684\u5bf9\u9f50\u65b9\u5f0f\uff0c\u5728\u9690\u85cf\u6d4b\u8bd5\u6570\u636e\u96c6\u4e2d\u5f97\u5230\u4e86IIA\u5206\u5e03\u3002\u4e0b\u9762\u662f\u6211\u4eec\u8003\u8651\u7684\u6240\u6709\u56db\u4e2a\u9ad8\u7ea7\u56e0\u679c\u6a21\u578b\u7684\u5bf9\u9f50\u7ed3\u679c\u3002<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
\u56fe7. \u56db\u4e2a\u9ad8\u7ea7\u56e0\u679c\u6a21\u578b\u7684\u5bf9\u9f50\u7ed3\u679c
<\/span><\/section>\n

<\/section>\n
\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u901a\u8fc7\u5c06\u4e0a\u9650\u8bbe\u7f6e\u4e3a\u4efb\u52a1\u6027\u80fd\uff0c\u5c06\u4e0b\u9650\u8bbe\u7f6e\u4e3a\u865a\u62df\u5206\u7c7b\u5668\u7684\u6a21\u578b\u6027\u80fd\u6765\u5bf9IIA\u8fdb\u884c\u5f52\u4e00\u5316\u3002\u663e\u7136\uff0c\u6d89\u53ca\u5de6\u8fb9\u754c\u548c\u53f3\u8fb9\u754c\u68c0\u67e5\u7684\u56e0\u679c\u6a21\u578b\u8981\u660e\u663e\u66f4\u53ef\u9760\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0cAlpaca\u6a21\u578b\u5728\u5185\u90e8\u8ba1\u7b97\u8fd9\u4e9b\u5e03\u5c14\u53d8\u91cf\u6765\u8868\u793a\u8f93\u5165\u91d1\u989d\u4e0e\u62ec\u53f7\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/span><\/section>\n


<\/h2>\n
\n

 <\/span>
<\/p>\n<\/section>\n

\n
\n
\n
\n
\n

<\/section>\n

<\/section>\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n

\u4e3b\u8981\u7ed3\u679c\uff1a\u627e\u5230\u7684\u56e0\u679c\u673a\u5236\u662f\u5426\u5177\u6709\u9c81\u68d2\u6027\uff1f<\/span><\/strong><\/span><\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

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

<\/section>\n

\u73b0\u5728\u5bf9\u4e8e\u5927\u6a21\u578b\u7684\u53ef\u89e3\u91ca\u6027\u6216\u8005\u673a\u5236\u89e3\u91ca\u6027<\/span> (mechanistic interpretability) <\/span>\u7684\u65b9\u6cd5\u7684\u4e3b\u8981\u8bdf\u75c5\uff0c\u662f\u627e\u5230\u7684\u53ef\u89e3\u91ca\u6027\u7684\u7ed3\u679c\u53ef\u80fd\u4ec5\u9002\u7528\u4e8e\u7279\u5b9a\u7684\u8f93\u5165-\u8f93\u51fa\u5bf9\u8bbe\u7f6e\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u8bd5\u56fe\u63a2\u5bfb\u627e\u5230\u7684\u53ef\u89e3\u91ca\u6027\u662f\u5426\u5177\u6709\u5f88\u597d\u7684\u9c81\u68d2\u6027\u3002<\/span><\/p>\n

\u6211\u4eec\u5728\u4e0d\u540c\u7684\u8f93\u5165-\u8f93\u51fa\u8bbe\u7f6e\u7684\u60c5\u51b5\u4e0b\u65e0\u8bad\u7ec3<\/span> (inference-time only) <\/span>\u7684\u770b\u53d1\u73b0\u7684\u56e0\u679c\u4f5c\u7528<\/span>\uff08\u5373\u5bf9\u9f50\u65b9\u5f0f\uff09<\/span>\u662f\u5426\u5f97\u5230\u4fdd\u7559\u3002\u8fd9\u662f\u81f3\u5173\u91cd\u8981\u7684\uff0c\u56e0\u4e3a\u5b83\u544a\u8bc9\u6211\u4eec\u56e0\u679c\u6a21\u578b\u5728\u795e\u7ecf\u7f51\u7edc\u4e2d\u7684\u5b9e\u73b0\u662f\u5426\u5177\u6709\u9c81\u68d2\u6027\u3002\u6211\u4eec\u7814\u7a76\u4e86\u4e09\u79cd\u8bbe\u7f6e\uff1a<\/span><\/p>\n


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

1. \u65b0\u7684\u8f93\u5165: \u5728\u6d4b\u8bd5\u7684\u65f6\u5019\uff0c\u6211\u4eec\u6539\u53d8\u4e86\u95ee\u9898\u4e2d\u7684\u6700\u5927\u548c\u6700\u5c0f\u503c\u3002<\/span><\/p>\n

2. \u63d2\u5165\u65e0\u5173\u7684\u4fe1\u606f: \u6211\u4eec\u5728\u6d4b\u8bd5\u65f6\u6ce8\u5165\u968f\u673a\u4e0a\u4e0b\u6587\u4ee5\u8bc4\u4f30\u5bf9\u9f50\u65b9\u5f0f\u3002<\/span><\/p>\n

3. \u6574\u4e2a\u6307\u4ee4\u7684\u6539\u5199: \u6211\u4eec\u4e3a\u6307\u4ee4 “\u8bf4\u662f\u2026\u2026\uff0c\u5426\u5219\u4e0d” \u8bad\u7ec3\u5bf9\u9f50\u65b9\u5f0f\uff0c\u5e76\u67e5\u770b\u5b83\u4eec\u662f\u5426\u63a8\u5e7f\u5230\u6307\u4ee4 “\u8bf4\u771f\u2026\u2026\uff0c\u5426\u5219\u5047”\u3002<\/span><\/section>\n

<\/section>\n
<\/section>\n
\u8868\u683c\u91cc\u7684\u6570\u636e\u662f\u6211\u4eec\u5b9e\u9a8c\u7684\u603b\u7ed3\u7ed3\u679c\uff0c\u4efb\u52a1\u6027\u80fd\u4f5c\u4e3a\u51c6\u786e\u7387<\/span>\uff08Task Acc.; \u5728[0.00\uff0c1.00]\u4e4b\u95f4\uff09<\/span>\uff0c\u5728\u6240\u6709\u4f4d\u7f6e\u548c\u5c42\u4e2d\u7684\u6700\u5927\u4e92\u6362\u5e72\u9884\u51c6\u786e\u7387<\/span>\uff08IIA; \u5728[0.00\uff0c1.00]\u4e4b\u95f4\uff09<\/span>\uff0c\u4e24\u4e2a\u5206\u5e03\u4e4b\u95f4\u7684IIA\u7684Pearson\u76f8\u5173\u6027<\/span>\uff08\u5728[-1.00\uff0c1.00]\u4e4b\u95f4\uff09<\/span>\uff0c\u4ee5\u53ca\u5355\u4e2a\u5b9e\u9a8c\u4e2d\u6240\u6709\u4f4d\u7f6e\u548c\u5c42\u7684IIA\u65b9\u5dee\u3002\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u5728\u8fd9\u4e9b\u8bbe\u7f6e\u4e2d\u627e\u5230\u7684\u5bf9\u9f50\u65b9\u5f0f\u5177\u6709\u9c81\u68d2\u6027\u3002<\/span><\/section>\n
\n


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

 <\/span>
<\/p>\n<\/section>\n

\n
\n
\n
\n
\n

<\/section>\n

<\/section>\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n
\n

\u53ef\u89e3\u91ca\u6027\u7684\u613f\u666f<\/strong><\/strong><\/p>\n<\/section>\n

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\u56fe8. \uff08\u5de6\uff09\u63d0\u8bae\u8303\u4f8b\u7684\u56db\u4e2a\u4e2d\u5fc3\u6b65\u9aa4\uff1b\uff08\u53f3\uff09\u672a\u6765\u60f3\u8981\u5b9e\u73b0\u7684\u4e2d\u95f4\u76ee\u6807
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\u5c40\u9650\u6027\u8ba8\u8bba<\/strong><\/strong><\/p>\n<\/section>\n

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1. \u66f4\u5927\u7684\u89c4\u6a21: \u6211\u4eec\u5e0c\u671b\u6211\u4eec\u7684\u6846\u67b6\u53ef\u4ee5\u5e94\u7528\u4e8e\u7814\u7a76\u6700\u5f3a\u5927\u7684LLMs<\/span>\uff08\u4f8b\u5982175B\u7684GPT-3\u6216GPT-4\uff09\u3002<\/span>\u5728\u53d1\u5e03\u65f6\uff0c\u56e0\u4e3a\u5f53\u524d\u7684\u5de5\u4f5c\u4ecd\u7136\u96c6\u4e2d\u5728\u4e00\u4e2a\u7b80\u5355\u7684\u63a8\u7406\u4efb\u52a1\u4e0a\uff0c\u8f83\u5c0f\u7684LLMs\u53ef\u4ee5\u89e3\u51b3\u3002<\/span><\/p>\n

2. \u786e\u5b9a\u7684\u56e0\u679c\u6a21\u578b: \u6211\u4eec\u7684\u5de5\u4f5c\u4f9d\u8d56\u4e8e\u5148\u9a8c\u5df2\u77e5\u7684\u56e0\u679c\u6a21\u578b\uff0c\u5728\u8bb8\u591a\u5b9e\u9645\u5e94\u7528\u4e2d\u8fd9\u662f\u4e0d\u73b0\u5b9e\u7684\uff0c\u56e0\u4e3a\u9ad8\u7ea7\u56e0\u679c\u6a21\u578b\u4e5f\u662f\u9690\u85cf\u7684\u3002\u672a\u6765\u7684\u5de5\u4f5c\u53ef\u4ee5\u901a\u8fc7\u57fa\u4e8e\u542f\u53d1\u5f0f\u7684\u79bb\u6563\u641c\u7d22\u6216\u751a\u81f3\u7aef\u5230\u7aef\u4f18\u5316\u6765\u7814\u7a76\u5b66\u4e60\u56e0\u679c\u56fe\u7684\u65b9\u6cd5\u3002<\/span><\/p>\n

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4. \u6ca1\u6709\u786e\u51ff\u7684\u7b54\u6848: \u6211\u4eec\u7684\u8bc4\u4f30\u8303\u4f8b\u53ef\u4ee5\u6839\u636eIIA\u63d0\u51fa\u5bf9\u9f50\u65b9\u5f0f<\/span>\uff08\u5373\u7070\u76d2\uff09<\/span>\uff0c\u4f46\u65e0\u6cd5\u5bf9\u5931\u8d25\u7684\u5bf9\u9f50\u65b9\u5f0f\u8fdb\u884c\u786e\u5b9a\u6027\u63a8\u65ad\u3002<\/span><\/p>\n

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\u539f\u6587\u94fe\u63a5\uff1a<\/span><\/section>\n
https:\/\/nlp.stanford.edu\/~wuzhengx\/boundless_das\/cn_index.html<\/span><\/section>\n<\/section>\n<\/blockquote>\n

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\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u8bfb\u4e66\u4f1a<\/strong><\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u8fde\u63a5\u56e0\u679c\u79d1\u5b66\u4e0e\u6df1\u5ea6\u5b66\u4e60\u7684\u6865\u6881\uff1a\u56e0\u679c\u8868\u5f81\u5b66\u4e60\u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/section>\n

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\u201c\u540eChatGPT\u201d\u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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2022\u5e7411\u670830\u65e5\uff0c\u4e00\u4e2a\u73b0\u8c61\u7ea7\u5e94\u7528\u7a0b\u5e8f\u8bde\u751f\u4e8e\u4e92\u8054\u7f51\uff0c\u8fd9\u5c31\u662fOpenAI\u5f00\u53d1\u7684ChatGPT\u3002\u4ece\u95ee\u7b54\u5230\u5199\u7a0b\u5e8f\uff0c\u4ece\u63d0\u53d6\u6458\u8981\u5230\u8bba\u6587\u5199\u4f5c\uff0cChatGPT\u5c55\u73b0\u51fa\u4e86\u591a\u6837\u5316\u7684\u901a\u7528\u667a\u80fd\u3002<\/span>\u96c6\u667a\u4ff1\u4e50\u90e8\u7279\u522b\u7ec4\u7ec7<\/span>\u201c\u540e ChatGPT\u201d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u7531\u5317\u5e08\u5927\u6559\u6388\u3001\u96c6\u667a\u4ff1\u4e50\u90e8\u521b\u59cb\u4eba\u5f20\u6c5f\u8001\u5e08\u8054\u5408\u8096\u8fbe\u3001\u674e\u5ae3\u7136\u3001\u5d14\u9e4f\u3001\u4faf\u6708\u6e90\u3001\u949f\u7ff0\u5ef7\u3001\u5362\u71da\u7b49\u591a\u4f4d\u8001\u5e08\u5171\u540c\u53d1\u8d77\uff0c\u65e8\u5728\u7cfb\u7edf\u6027\u5730\u68b3\u7406ChatGPT\u6280\u672f\uff0c\u5e76\u53d1\u73b0\u5176\u5f31\u70b9\u4e0e\u77ed\u677f\u3002<\/span><\/section>\n


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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
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<\/span><\/strong><\/strong><\/p>\n

\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n

1. <\/strong>\u56e0\u679c\u63a8\u7406\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\uff1a\u5f00\u8f9f\u56e0\u679c\u5173\u7cfb\u7684\u65b0\u524d\u6cbf<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2.<\/strong> \u5927\u8bed\u8a00\u6a21\u578b\u505a\u79d1\u7814\u7684N\u79cd\u53ef\u80fd\u6027\uff1a\u4ece\u81ea\u4e3b\u8fdb\u884c\u79d1\u5b66\u5b9e\u9a8c\u5230\u5199\u7efc\u8ff0\u6587\u7ae0<\/a><\/strong><\/span><\/strong><\/section>\n
3.<\/strong><\/strong> \u5723\u5854\u83f2\u5b66\u8005\uff1aAI \u5927\u8bed\u8a00\u6a21\u578b\u771f\u7684\u7406\u89e3\u4eba\u7c7b\u8bed\u8a00\u5417\uff1f<\/a><\/strong><\/span><\/section>\n
4. \u300a\u5f20\u6c5f\u00b7\u590d\u6742\u79d1\u5b66\u524d\u6cbf27\u8bb2\u300b\u5b8c\u6574\u4e0a\u7ebf\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/section>\n
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5. \u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/span><\/strong><\/a><\/strong><\/strong><\/strong><\/strong><\/section>\n
6. <\/strong><\/strong><\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/span><\/section>\n


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


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

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

\u5bfc\u8bed \u65af\u5766\u798f\u5927\u5b66\u7684 Alpaca \u6a21\u578b\u662f\u7528\u4e8e\u5b66\u672f\u7814\u7a76\u7684\u6307\u4ee4\u9075\u5faa\u8bed\u8a00\u6a21\u578b\uff08instruction-following language model\uff09\u3002\u5728\u8fd1\u65e5\u65b0\u53d1\u8868\u7684\u8bba\u6587\u201c\u89e3\u91ca\u5927\u8bed\u8a00\u6a21\u578b\uff1a\u5728 Alpaca \u4e2d\u8bc6\u522b\u56e0\u679c\u673a\u5236\u201d\u4e2d\uff0c\u7814\u7a76\u8005\u63d0\u51fa\u4e00\u79cd\u901a\u7528\u7684\u56e0\u679c\u673a\u5236\u53d1\u73b0\u6846\u67b6\uff0c\u4f7f\u7528\u8be5\u5de5\u5177\uff0cAlpaca \u6a21\u578b\u5728\u7b80\u5355\u7684\u6570…<\/p>\n","protected":false},"author":0,"featured_media":42577,"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\/42589"}],"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=42589"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/42589\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/42577"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=42589"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=42589"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=42589"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=42589"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}