{"id":19997,"date":"2024-03-29T14:52:41","date_gmt":"2024-03-29T06:52:41","guid":{"rendered":"https:\/\/aif.amtbbs.org\/?p=19997"},"modified":"2024-03-29T14:56:20","modified_gmt":"2024-03-29T06:56:20","slug":"deepmind%e7%bb%88%e7%bb%93%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%b9%bb%e8%a7%89%ef%bc%9f%e6%a0%87%e6%b3%a8%e4%ba%8b%e5%ae%9e%e6%af%94%e4%ba%ba%e7%b1%bb%e9%9d%a0%e8%b0%b1%e3%80%81%e8%bf%98%e4%be%bf%e5%ae%9c20","status":"publish","type":"post","link":"https:\/\/aif.amtbbs.org\/index.php\/2024\/03\/29\/19997\/","title":{"rendered":"DeepMind\u7ec8\u7ed3\u5927\u6a21\u578b\u5e7b\u89c9\uff1f\u6807\u6ce8\u4e8b\u5b9e\u6bd4\u4eba\u7c7b\u9760\u8c31\u3001\u8fd8\u4fbf\u5b9c20\u500d\uff0c\u5168\u5f00\u6e90"},"content":{"rendered":"<div><img data-dominant-color=\"0e4170\" data-has-transparency=\"false\" style=\"--dominant-color: #0e4170;\" loading=\"lazy\" decoding=\"async\" class=\"not-transparent alignnone size-full wp-image-20001\" src=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/03\/d5bde070694d4995a4069160b278757a0c7047-300x167-1.jpg\" width=\"300\" height=\"167\" alt=\"\" srcset=\"https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/03\/d5bde070694d4995a4069160b278757a0c7047-300x167-1.jpg 300w, https:\/\/aiforumimage.oss-cn-shanghai.aliyuncs.com\/wp-content\/uploads\/2024\/03\/d5bde070694d4995a4069160b278757a0c7047-300x167-1-150x84.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/div>\n<div class=\"article-desc\">AI DeepMind \u8fd9\u7bc7\u8bba\u6587\u4e00\u51fa\uff0c\u4eba\u7c7b\u6807\u6ce8\u8005\u7684\u996d\u7897\u4e5f\u8981\u88ab\u7838\u4e86\u5417\uff1f<\/div>\n<div id=\"postspictures\" class=\"article-content\">\n<div id=\"container\" class=\"container am-engine\" data-v-1d7a5742=\"\" data-element=\"root\">\n<p>\u5927\u6a21\u578b\u7684\u5e7b\u89c9\u7ec8\u4e8e\u8981\u7ec8\u7ed3\u4e86\uff1f<\/p>\n<p>\u4eca\u65e5\uff0c\u793e\u5a92\u5e73\u53f0 reddit \u4e0a\u7684\u4e00\u5219\u5e16\u5b50\u5f15\u8d77\u7f51\u53cb\u70ed\u8bae\u3002\u5e16\u5b50\u8ba8\u8bba\u7684\u662f\u8c37\u6b4c DeepMind \u6628\u65e5\u63d0\u4ea4\u7684\u4e00\u7bc7\u8bba\u6587\u300aLong-form factuality in large language models\u300b\uff08\u5927\u8bed\u8a00\u6a21\u578b\u7684\u957f\u7bc7\u4e8b\u5b9e\u6027\uff09\uff0c\u6587\u4e2d\u63d0\u51fa\u7684\u65b9\u6cd5\u548c\u7ed3\u679c\u8ba9\u4eba\u5f97\u51fa\u5927\u80c6\u7684\u7ed3\u8bba\uff1a\u5bf9\u4e8e\u8d1f\u62c5\u5f97\u8d77\u7684\u4eba\u6765\u8bf4\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u5e7b\u89c9\u4e0d\u518d\u662f\u95ee\u9898\u4e86\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s8.51cto.com\/oss\/202403\/29\/b2bca8331fa0ac815d5596f376cbe9a2232d53.webp\" data-type=\"block\" \/><\/p>\n<p>\u6211\u4eec\u77e5\u9053\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u5728\u54cd\u5e94\u5f00\u653e\u5f0f\u4e3b\u9898\u7684 fact-seeking\uff08\u4e8b\u5b9e\u5bfb\u6c42\uff09\u63d0\u793a\u65f6\uff0c\u901a\u5e38\u4f1a\u751f\u6210\u5305\u542b\u4e8b\u5b9e\u9519\u8bef\u7684\u5185\u5bb9\u3002DeepMind \u9488\u5bf9\u8fd9\u4e00\u73b0\u8c61\u8fdb\u884c\u4e86\u4e00\u4e9b\u63a2\u7d22\u6027\u7814\u7a76\u3002<\/p>\n<p>\u9996\u5148\uff0c\u4e3a\u4e86\u5bf9\u4e00\u4e2a\u6a21\u578b\u5728\u5f00\u653e\u57df\u7684\u957f\u7bc7\u4e8b\u5b9e\u6027\u8fdb\u884c\u57fa\u51c6\u6d4b\u8bd5\uff0c\u7814\u7a76\u8005\u4f7f\u7528 GPT-4 \u751f\u6210 LongFact\uff0c\u5b83\u662f\u4e00\u4e2a\u5305\u542b 38 \u4e2a\u4e3b\u9898\u3001\u6570\u5343\u4e2a\u95ee\u9898\u7684\u63d0\u793a\u96c6\u3002\u7136\u540e\u4ed6\u4eec\u63d0\u51fa\u4f7f\u7528\u641c\u7d22\u589e\u5f3a\u4e8b\u5b9e\u8bc4\u4f30\u5668\uff08Search-Augmented Factuality Evaluator, SAFE\uff09\u6765\u5c06 LLM \u667a\u80fd\u4f53\u7528\u4f5c\u957f\u7bc7\u4e8b\u5b9e\u6027\u7684\u81ea\u52a8\u8bc4\u4f30\u5668\u3002<\/p>\n<p>\u5bf9\u4e8e SAFE\uff0c\u5b83\u5229\u7528 LLM \u5c06\u957f\u7bc7\u54cd\u5e94\u5206\u89e3\u4e3a\u4e00\u7ec4\u5355\u72ec\u7684\u4e8b\u5b9e\uff0c\u5e76\u4f7f\u7528\u591a\u6b65\u63a8\u7406\u8fc7\u7a0b\u6765\u8bc4\u4f30\u6bcf\u4e2a\u4e8b\u5b9e\u7684\u51c6\u786e\u6027\u3002\u8fd9\u91cc\u591a\u6b65\u63a8\u7406\u8fc7\u7a0b\u5305\u62ec\u5c06\u641c\u7d22\u67e5\u8be2\u53d1\u9001\u5230 Google \u641c\u7d22\u5e76\u786e\u5b9a\u641c\u7d22\u7ed3\u679c\u662f\u5426\u652f\u6301\u67d0\u4e2a\u4e8b\u5b9e \u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s7.51cto.com\/oss\/202403\/29\/252ce1e3711c7c1382f5115f0c79638f704abc.webp\" data-type=\"block\" \/><\/p>\n<p>\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/2403.18802.pdf<\/p>\n<p>GitHub \u5730\u5740\uff1ahttps:\/\/github.com\/google-deepmind\/long-form-factuality<\/p>\n<p>\u6b64\u5916\uff0c\u7814\u7a76\u8005\u63d0\u51fa\u5c06 F1 \u5206\u6570\uff08F1@K\uff09\u6269\u5c55\u4e3a\u957f\u7bc7\u4e8b\u5b9e\u6027\u7684\u805a\u5408\u6307\u6807\u3002\u4ed6\u4eec\u5e73\u8861\u4e86\u54cd\u5e94\u4e2d\u652f\u6301\u7684\u4e8b\u5b9e\u7684\u767e\u5206\u6bd4\uff08\u7cbe\u5ea6\uff09\u548c\u6240\u63d0\u4f9b\u4e8b\u5b9e\u76f8\u5bf9\u4e8e\u4ee3\u8868\u7528\u6237\u9996\u9009\u54cd\u5e94\u957f\u5ea6\u7684\u8d85\u53c2\u6570\u7684\u767e\u5206\u6bd4\uff08\u53ec\u56de\u7387\uff09\u3002<\/p>\n<p>\u5b9e\u8bc1\u7ed3\u679c\u8868\u660e\uff0cLLM \u667a\u80fd\u4f53\u53ef\u4ee5\u5b9e\u73b0\u8d85\u8d8a\u4eba\u7c7b\u7684\u8bc4\u7ea7\u6027\u80fd\u3002\u5728\u4e00\u7ec4\u7ea6 16k \u4e2a\u5355\u72ec\u7684\u4e8b\u5b9e\u4e0a\uff0cSAFE \u5728 72% \u7684\u60c5\u51b5\u4e0b\u4e0e\u4eba\u7c7b\u6ce8\u91ca\u8005\u4e00\u81f4\uff0c\u5e76\u4e14\u5728 100 \u4e2a\u5206\u6b67\u6848\u4f8b\u7684\u968f\u673a\u5b50\u96c6\u4e0a\uff0cSAFE \u7684\u8d62\u7387\u4e3a 76%\u3002\u540c\u65f6\uff0cSAFE \u7684\u6210\u672c\u6bd4\u4eba\u7c7b\u6ce8\u91ca\u8005\u4fbf\u5b9c 20 \u500d\u4ee5\u4e0a\u3002<\/p>\n<p>\u7814\u7a76\u8005\u8fd8\u4f7f\u7528 LongFact\uff0c\u5bf9\u56db\u4e2a\u5927\u6a21\u578b\u7cfb\u5217\uff08Gemini\u3001GPT\u3001Claude \u548c PaLM-2\uff09\u7684 13 \u79cd\u6d41\u884c\u7684\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u4e86\u57fa\u51c6\u6d4b\u8bd5\uff0c\u7ed3\u679c\u53d1\u73b0\u8f83\u5927\u7684\u8bed\u8a00\u6a21\u578b\u901a\u5e38\u53ef\u4ee5\u5b9e\u73b0\u66f4\u597d\u7684\u957f\u7bc7\u4e8b\u5b9e\u6027\u3002<\/p>\n<p>\u8bba\u6587\u4f5c\u8005\u4e4b\u4e00\u3001\u8c37\u6b4c\u7814\u7a76\u79d1\u5b66\u5bb6 Quoc V. Le \u8868\u793a\uff0c\u8fd9\u7bc7\u5bf9\u957f\u7bc7\u4e8b\u5b9e\u6027\u8fdb\u884c\u8bc4\u4f30\u548c\u57fa\u51c6\u6d4b\u8bd5\u7684\u65b0\u5de5\u4f5c\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u6570\u636e\u96c6\u3001 \u4e00\u79cd\u65b0\u8bc4\u4f30\u65b9\u6cd5\u4ee5\u53ca\u4e00\u79cd\u517c\u987e\u7cbe\u5ea6\u548c\u53ec\u56de\u7387\u7684\u805a\u5408\u6307\u6807\u3002\u540c\u65f6\u6240\u6709\u6570\u636e\u548c\u4ee3\u7801\u5c06\u5f00\u6e90\u4ee5\u4f9b\u672a\u6765\u5de5\u4f5c\u4f7f\u7528\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s8.51cto.com\/oss\/202403\/29\/b381500389b178d303e51873f89418f98e5e62.webp\" data-type=\"block\" \/><\/p>\n<h4>\u65b9\u6cd5\u6982\u89c8<\/h4>\n<p><strong>LONGFACT\uff1a\u4f7f\u7528 LLM \u751f\u6210\u957f\u7bc7\u4e8b\u5b9e\u6027\u7684\u591a\u4e3b\u9898\u57fa\u51c6<\/strong><\/p>\n<p>\u9996\u5148\u6765\u770b\u4f7f\u7528 GPT-4 \u751f\u6210\u7684 LongFact \u63d0\u793a\u96c6\uff0c\u5305\u542b\u4e86 2280 \u4e2a\u4e8b\u5b9e\u5bfb\u6c42\u63d0\u793a\uff0c\u8fd9\u4e9b\u63d0\u793a\u8981\u6c42\u8de8 38 \u4e2a\u624b\u52a8\u9009\u62e9\u4e3b\u9898\u7684\u957f\u7bc7\u54cd\u5e94\u3002\u7814\u7a76\u8005\u8868\u793a\uff0cLongFact \u662f\u7b2c\u4e00\u4e2a\u7528\u4e8e\u8bc4\u4f30\u5404\u4e2a\u9886\u57df\u957f\u7bc7\u4e8b\u5b9e\u6027\u7684\u63d0\u793a\u96c6\u3002<\/p>\n<p>LongFact \u5305\u542b\u4e24\u4e2a\u4efb\u52a1\uff1aLongFact-Concepts \u548c LongFact-Objects\uff0c\u6839\u636e\u95ee\u9898\u662f\u5426\u8be2\u95ee\u6982\u5ff5\u6216\u5bf9\u8c61\u6765\u533a\u5206\u3002\u7814\u7a76\u8005\u4e3a\u6bcf\u4e2a\u4e3b\u9898\u751f\u6210 30 \u4e2a\u72ec\u7279\u7684\u63d0\u793a\uff0c\u6bcf\u4e2a\u4efb\u52a1\u5404\u6709 1140 \u4e2a\u63d0\u793a\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s7.51cto.com\/oss\/202403\/29\/94f2ea7696796f65d91758c59d0bbe378f9906.webp\" data-type=\"block\" \/><\/p>\n<p><strong>SAFE\uff1aLLM \u667a\u80fd\u4f53\u4f5c\u4e3a\u4e8b\u5b9e\u6027\u81ea\u52a8\u8bc4\u5206\u8005<\/strong><\/p>\n<p>\u7814\u7a76\u8005\u63d0\u51fa\u4e86\u641c\u7d22\u589e\u5f3a\u4e8b\u5b9e\u8bc4\u4f30\u5668\uff08SAFE\uff09\uff0c\u5b83\u7684\u8fd0\u884c\u539f\u7406\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n<p>a\uff09\u5c06\u957f\u7bc7\u7684\u54cd\u5e94\u62c6\u5206\u4e3a\u5355\u72ec\u7684\u72ec\u7acb\u4e8b\u5b9e\uff1b<\/p>\n<p>b\uff09\u786e\u5b9a\u6bcf\u4e2a\u5355\u72ec\u7684\u4e8b\u5b9e\u662f\u5426\u4e0e\u56de\u7b54\u4e0a\u4e0b\u6587\u4e2d\u7684\u63d0\u793a\u76f8\u5173\uff1b<\/p>\n<p>c) \u5bf9\u4e8e\u6bcf\u4e2a\u76f8\u5173\u4e8b\u5b9e\uff0c\u5728\u591a\u6b65\u8fc7\u7a0b\u4e2d\u8fed\u4ee3\u5730\u53d1\u51fa Google \u641c\u7d22\u67e5\u8be2\uff0c\u5e76\u63a8\u7406\u641c\u7d22\u7ed3\u679c\u662f\u5426\u652f\u6301\u8be5\u4e8b\u5b9e\u3002<\/p>\n<p>\u4ed6\u4eec\u8ba4\u4e3a SAFE \u7684\u5173\u952e\u521b\u65b0\u5728\u4e8e\u4f7f\u7528\u8bed\u8a00\u6a21\u578b\u4f5c\u4e3a\u667a\u80fd\u4f53\uff0c\u6765\u751f\u6210\u591a\u6b65 Google \u641c\u7d22\u67e5\u8be2\uff0c\u5e76\u4ed4\u7ec6\u63a8\u7406\u641c\u7d22\u7ed3\u679c\u662f\u5426\u652f\u6301\u4e8b\u5b9e\u3002\u4e0b\u56fe 3 \u4e3a\u63a8\u7406\u94fe\u793a\u4f8b\u3002<\/p>\n<p><img decoding=\"async\" title=\"\u56fe\u7247\" src=\"https:\/\/s3.51cto.com\/oss\/202403\/29\/c36fefb196bf2731ad3707d633b6831bd248d1.webp\" alt=\"\u56fe\u7247\" data-type=\"inline\" 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1 \u6240\u793a\u3002<\/p>\n<p><img decoding=\"async\" title=\"\u56fe\u7247\" src=\"https:\/\/s3.51cto.com\/oss\/202403\/29\/37fa82739206c976b64893428038e8df1bb934.webp\" alt=\"\u56fe\u7247\" data-type=\"inline\" \/><\/p>\n<p>\u5728\u6bcf\u4e2a\u6b65\u9aa4\u4e2d\uff0c\u6a21\u578b\u90fd\u4f1a\u6839\u636e\u8981\u8bc4\u5206\u7684\u4e8b\u5b9e\u548c\u4e4b\u524d\u83b7\u5f97\u7684\u641c\u7d22\u7ed3\u679c\u6765\u751f\u6210\u641c\u7d22\u67e5\u8be2\u3002\u7ecf\u8fc7\u4e00\u5b9a\u6570\u91cf\u7684\u6b65\u9aa4\u540e\uff0c\u6a21\u578b\u6267\u884c\u63a8\u7406\u4ee5\u786e\u5b9a\u641c\u7d22\u7ed3\u679c\u662f\u5426\u652f\u6301\u8be5\u4e8b\u5b9e\uff0c\u5982\u4e0a\u56fe 3 \u6240\u793a\u3002\u5728\u5bf9\u6240\u6709\u4e8b\u5b9e\u8fdb\u884c\u8bc4\u7ea7\u540e\uff0cSAFE \u9488\u5bf9\u7ed9\u5b9a\u63d0\u793a &#8211; \u54cd\u5e94\u5bf9\u7684\u8f93\u51fa\u6307\u6807\u4e3a \u300c\u652f\u6301\u300d\u4e8b\u5b9e\u7684\u6570\u91cf\u3001\u300c\u4e0d\u76f8\u5173\u300d\u4e8b\u5b9e\u7684\u6570\u91cf\u4ee5\u53ca\u300c\u4e0d\u652f\u6301\u300d\u4e8b\u5b9e\u7684\u6570\u91cf\u3002<\/p>\n<h4>\u5b9e\u9a8c\u7ed3\u679c<\/h4>\n<p><strong>LLM \u667a\u80fd\u4f53\u6210\u4e3a\u6bd4\u4eba\u7c7b\u66f4\u597d\u7684\u4e8b\u5b9e\u6ce8\u91ca\u8005<\/strong><\/p>\n<p>\u4e3a\u4e86\u5b9a\u91cf\u8bc4\u4f30\u4f7f\u7528 SAFE \u83b7\u5f97\u6ce8\u91ca\u7684\u8d28\u91cf\uff0c\u7814\u7a76\u8005\u4f7f\u7528\u4e86\u4f17\u5305\u4eba\u7c7b\u6ce8\u91ca\u3002\u8fd9\u4e9b\u6570\u636e\u5305\u542b 496 \u4e2a\u63d0\u793a &#8211; \u54cd\u5e94\u5bf9\uff0c\u5176\u4e2d\u54cd\u5e94\u88ab\u624b\u52a8\u62c6\u5206\u4e3a\u5355\u72ec\u7684\u4e8b\u5b9e\uff08\u603b\u5171 16011 \u4e2a\u5355\u72ec\u7684\u4e8b\u5b9e\uff09\uff0c\u5e76\u4e14\u6bcf\u4e2a\u5355\u72ec\u7684\u4e8b\u5b9e\u90fd\u88ab\u624b\u52a8\u6807\u8bb0\u4e3a\u652f\u6301\u3001\u4e0d\u76f8\u5173\u6216\u4e0d\u652f\u6301\u3002<\/p>\n<p>\u4ed6\u4eec\u76f4\u63a5\u6bd4\u8f83\u6bcf\u4e2a\u4e8b\u5b9e\u7684 SAFE \u6ce8\u91ca\u548c\u4eba\u7c7b\u6ce8\u91ca\uff0c\u7ed3\u679c\u53d1\u73b0 SAFE \u5728 72.0% \u7684\u5355\u72ec\u4e8b\u5b9e\u4e0a\u4e0e\u4eba\u7c7b\u4e00\u81f4\uff0c\u5982\u4e0b\u56fe 4 \u6240\u793a\u3002\u8fd9\u8868\u660e SAFE \u5728\u5927\u591a\u6570\u5355\u72ec\u4e8b\u5b9e\u4e0a\u90fd\u8fbe\u5230\u4e86\u4eba\u7c7b\u6c34\u5e73\u7684\u8868\u73b0\u3002\u7136\u540e\u68c0\u67e5\u968f\u673a\u91c7\u8bbf\u7684 100 \u4e2a\u5355\u72ec\u4e8b\u5b9e\u7684\u5b50\u96c6\uff0c\u5176\u4e2d SAFE \u7684\u6ce8\u91ca\u4e0e\u4eba\u7c7b\u8bc4\u5206\u8005\u7684\u6ce8\u91ca\u4e0d\u4e00\u81f4\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/s3.51cto.com\/oss\/202403\/29\/d585fc460e903c6a8bf322eff59c7d98cca570.webp\" data-type=\"block\" \/><\/p>\n<p>\u7814\u7a76\u8005\u624b\u52a8\u91cd\u65b0\u6ce8\u91ca\u6bcf\u4e2a\u4e8b\u5b9e\uff08\u5141\u8bb8\u8bbf\u95ee Google \u641c\u7d22\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u7ef4\u57fa\u767e\u79d1\uff0c\u4ee5\u83b7\u5f97\u66f4\u5168\u9762\u7684\u6ce8\u91ca\uff09\uff0c\u5e76\u4f7f\u7528\u8fd9\u4e9b\u6807\u7b7e\u4f5c\u4e3a\u57fa\u672c\u4e8b\u5b9e\u3002\u4ed6\u4eec\u53d1\u73b0\uff0c\u5728\u8fd9\u4e9b\u5206\u6b67\u6848\u4f8b\u4e2d\uff0cSAFE \u6ce8\u91ca\u7684\u6b63\u786e\u7387\u4e3a 76%\uff0c\u800c\u4eba\u5de5\u6ce8\u91ca\u7684\u6b63\u786e\u7387\u4ec5\u4e3a 19%\uff0c\u8fd9\u4ee3\u8868 SAFE \u7684\u80dc\u7387\u662f 4 \u6bd4 1\u3002\u5177\u4f53\u5982\u4e0b\u56fe 5 \u6240\u793a\u3002<\/p>\n<p>\u8fd9\u91cc\uff0c\u4e24\u79cd\u6ce8\u91ca\u65b9\u6848\u7684\u4ef7\u683c\u975e\u5e38\u503c\u5f97\u5173\u6ce8\u3002\u4f7f\u7528\u4eba\u5de5\u6ce8\u91ca\u5bf9\u5355\u4e2a\u6a21\u578b\u54cd\u5e94\u8fdb\u884c\u8bc4\u7ea7\u7684\u6210\u672c\u4e3a 4 \u7f8e\u5143\uff0c\u800c\u4f7f\u7528 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