{"id":820,"date":"2023-05-30T11:26:47","date_gmt":"2023-05-30T03:26:47","guid":{"rendered":"http:\/\/47.92.147.95\/?p=820"},"modified":"2023-05-30T11:26:47","modified_gmt":"2023-05-30T03:26:47","slug":"2-2-1-3-4-%e6%b6%8c%e7%8e%b0","status":"publish","type":"post","link":"http:\/\/47.92.147.95\/index.php\/2023\/05\/30\/820\/11\/","title":{"rendered":"2.2.1.3.4 \u6d8c\u73b0"},"content":{"rendered":"\n

\u300aSparks of Artificial General Intelligence: Early experiments with GPT-4\u300b<\/a><\/p>\n\n\n\n

\u4e2d\u6587<\/a><\/p>\n\n\n\n

\u5230\u5e95\u53d1\u751f\u4e86\u4ec0\u4e48\uff1f<\/em><\/strong><\/em><\/strong>What is actually happening?<\/em><\/p>\n\n\n\n

\u5bf9 GPT-4 \u7684\u7814\u7a76\u5b8c\u5168\u662f\u73b0\u8c61\u5b66\u7684\uff1a\u7814\u7a76\u8005\u4eec\u4e13\u6ce8\u4e8e GPT-4 \u53ef\u4ee5\u505a\u7684\u4ee4\u4eba\u60ca\u8bb6\u7684\u4e8b\u60c5\uff0c\u4f46\u6ca1\u6709\u89e3\u51b3\u5b83\u4e3a\u4ec0\u4e48\u4ee5\u53ca\u5982\u4f55\u83b7\u5f97\u5982\u6b64\u60ca\u4eba\u7684\u667a\u80fd\u8fd9\u4e00\u57fa\u672c\u95ee\u9898\u3002\u5b83\u662f\u5982\u4f55\u63a8\u7406\u3001\u8ba1\u5212\u548c\u521b\u9020\u7684\uff1f\u5f53\u5b83\u7684\u6838\u5fc3\u4ec5\u4ec5\u662f\u7b80\u5355\u7684\u7b97\u6cd5\u7ec4\u4ef6\u2014\u2014\u68af\u5ea6\u4e0b\u964d\uff0c\u548c\u5177\u6709\u6781\u5176\u5927\u91cf\u6570\u636e\u7684\u5927\u578b Transformer\uff0c\u4e3a\u4ec0\u4e48\u5b83\u8868\u73b0\u51fa\u5982\u6b64\u666e\u904d\u800c\u7075\u6d3b\u7684\u667a\u80fd\uff1f  \u5b83\u6311\u6218\u4e86\u5927\u5bb6\u5bf9\u5b66\u4e60\u548c\u8ba4\u77e5\u7684\u7406\u89e3\uff0c\u6fc0\u53d1\u4e86\u5927\u5bb6\u7684\u597d\u5947\u5fc3\uff0c\u5e76\u6fc0\u53d1\u4e86\u66f4\u6df1\u5165\u7684\u7814\u7a76\uff0c\u800c\u4e00\u4e2a\u5173\u952e\u7684\u7814\u7a76\u65b9\u5411\u5c31\u662f\u5bf9\u4e8e <\/em>LLM \u6d8c\u73b0\u673a\u5236<\/em><\/strong><\/em><\/strong>\u7684\u63a2\u7d22\u3002<\/em><\/em><\/p>\n\n\n\n

\u7136\u800c\uff0c\u5c3d\u7ba1\u4eba\u4eec\u5bf9 LLM \u7684\u80fd\u529b\u95ee\u9898\u4ea7\u751f\u4e86\u6d53\u539a\u7684\u5174\u8da3\uff0c\u4f46\u8fc4\u4eca\u4e3a\u6b62\u7684\u8fdb\u5c55\u975e\u5e38\u6709\u9650\u3002\u4e00\u4e2a\u666e\u904d\u7684\u5047\u8bbe\u662f\u5927\u91cf\u7684\u6570\u636e\uff08\u7279\u522b\u662f\u5185\u5bb9\u7684\u591a\u6837\u6027\uff09\u8feb\u4f7f\u795e\u7ecf\u7f51\u7edc\u5b66\u4e60\u901a\u7528\u7684\u548c\u6709\u7528\u7684\u300c\u795e\u7ecf\u73af\u8def\u300d\uff0c\u800c\u5927\u5c3a\u5bf8\u7684\u6a21\u578b\u4e3a\u795e\u7ecf\u73af\u8def\u63d0\u4f9b\u4e86\u8db3\u591f\u7684\u5197\u4f59\u548c\u591a\u6837\u6027\uff0c\u4ee5\u652f\u6301\u4e13\u4e1a\u5316\u548c\u5fae\u8c03\u5230\u7279\u5b9a\u7684\u4efb\u52a1\u3002\u4e3a\u5927\u89c4\u6a21\u6a21\u578b\u8bc1\u660e\u8fd9\u4e9b\u5047\u8bbe\u4ecd\u7136\u662f\u4e00\u4e2a\u6311\u6218\uff0c\u800c\u4e14\uff0c\u51e0\u4e4e\u53ef\u4ee5\u80af\u5b9a\u7684\u662f\uff0c\u731c\u60f3\u53ea\u662f\u7b54\u6848\u7684\u4e00\u90e8\u5206\u3002\u4ece\u53e6\u4e00\u4e2a\u89d2\u5ea6\u6765\u770b\uff0c\u6a21\u578b\u7684\u5de8\u5927\u89c4\u6a21\u53ef\u80fd\u4f1a\u5e26\u6765\u5176\u4ed6\u4e00\u4e9b\u597d\u5904\uff0c\u4f8b\u5982\u901a\u8fc7\u8fde\u63a5\u4e0d\u540c\u7684\u6700\u5c0f\u503c\u6216\u7b80\u5355\u5730\u5b9e\u73b0\u9ad8\u7ef4\u6570\u636e\u7684\u5e73\u6ed1\u62df\u5408\uff0c\u4ece\u800c\u4f7f\u68af\u5ea6\u4e0b\u964d\u66f4\u52a0\u6709\u6548\u3002\u603b\u7684\u6765\u8bf4\uff0c\u9610\u660e GPT-4 \u7b49\u4eba\u5de5\u667a\u80fd\u7cfb\u7edf\u7684\u6027\u8d28\u548c\u673a\u5236\u662f\u4e00\u9879\u8270\u5de8\u7684\u6311\u6218\u3002<\/em><\/em><\/p>\n\n\n\n


\u662f\u4ec0\u4e48\u8ba9ChatGPT\u53d8\u5f97\u5982\u6b64\u806a\u660e\uff1f\u4ecd\u7136\u672a\u77e5\u7684\u5927\u8bed\u8a00\u6a21\u578b\u201c\u80fd\u529b\u6d8c\u73b0\u201d\u73b0\u8c61<\/a><\/p>\n\n\n\n

\u5f53\u6211\u4eec\u4e0d\u65ad\u52a0\u5927\u6a21\u578b\u89c4\u6a21\u65f6\uff0c\u5927\u8bed\u8a00\u6a21\u578b\u8868\u73b0\u51fa\uff1a<\/em><\/em><\/p>\n\n\n\n

  1. \u5927\u8bed\u8a00\u6a21\u578b\u4ece\u6d77\u91cf\u81ea\u7531\u6587\u672c\u4e2d\u5b66\u4e60\u4e86\u5927\u91cf\u77e5\u8bc6\uff0c\u5e76\u4e14\u662f\u5728\u4e0d\u65ad\u79ef\u7d2f\u7684\u3002<\/em>\u5728\u77e5\u8bc6\u5bc6\u96c6\u578b\u4efb\u52a1\u4e0a\uff0c\u968f\u7740\u6a21\u578b\u89c4\u6a21\u589e\u957f\u800c\u5e26\u6765\u7684\u6548\u679c\u63d0\u5347\uff0c\u8fd8\u6ca1\u6709\u770b\u5230\u5c3d\u5934\uff0c\u8fd9\u4e5f\u610f\u5473\u7740\u53ea\u8981\u6211\u4eec\u4e0d\u65ad\u6269\u5927\uff0cAI\u5904\u7406\u8fd9\u7c7b\u4efb\u52a1\u7684\u80fd\u529b\u8fd8\u4f1a\u63d0\u5347\u3002<\/em><\/em><\/li>
  2. \u6d8c\u73b0\u51fa\u65b0\u80fd\u529b\u3002<\/em><\/em><\/li><\/ol>\n\n\n\n
    \"\"
    \u5927\u8bed\u8a00\u6a21\u578b\u7684\u6d8c\u73b0\u73b0\u8c61\uff0c\u5728\u4e00\u5b9a\u89c4\u6a21\u540e\u8fc5\u901f\u6d8c\u73b0\u51fa\u65b0\u80fd\u529b<\/em>
    \u56fe\u7247\u6765\u6e90\uff1aGoogle\u3001Stanford\u3001DeepMind\uff1aEmergent Abilities of Large Language Models<\/em><\/figcaption><\/figure>\n\n\n\n

    \u7b2c\u4e00\u7c7b<\/em>\uff1a<\/em>\u4e0a\u4e0b\u6587\u5b66\u4e60ICL\uff08In Context Learning\uff0c2022\u5e74\u521d\u6b63\u5f0f\u63d0\u51fa\uff09\u3002ICL\u7684\u5173\u952e\u601d\u60f3\u662f\u4e0d\u5bf9\u6a21\u578b\u53c2\u6570\u8fdb\u884c\u8c03\u6574\uff0c\u800c\u662f\u7ed9\u5927\u6a21\u578b\u51e0\u4e2a\u793a\u4f8b\uff0cAI\u5c31\u53ef\u4ee5\u4ece\u7c7b\u6bd4\u4e2d\u5b66\u4e60\u3002<\/em>\u8bba\u6587<\/em>\uff1aOpenAI\u300aLanguage Models are Few-Shot Learners\u300bhttps:\/\/arxiv.org\/pdf\/2005.14165.pdf\uff1b\u534e\u76db\u987f\u5927\u5b66\u3001Meta\u3001Allen Institute for AI\u300aRethinking the Role of Demonstrations: What Makes In-Context Learning Work?\u300bhttps:\/\/arxiv.org\/pdf\/2202.12837.pdf<\/em><\/em><\/p>\n\n\n\n

    \u7b2c\u4e8c\u7c7b<\/em>\uff1a<\/em>\u601d\u7ef4\u94feCoT\uff08Chain of Thought\uff09<\/em>\uff0c<\/em>\u662f\u5927\u8bed\u8a00\u6a21\u578b\u63a8\u7406\u80fd\u529b\u7684\u91cd\u8981\u6765\u6e90\u4e4b\u4e00\u3002<\/em>\u8bba\u6587<\/em>\uff1a<\/em>Google Brain\u56e2\u961f<\/em>\u300a<\/em>Chain of thought prompting elicits reasoning in large language models<\/em>\u300b<\/em>https:\/\/arxiv.org\/pdf\/2201.11903.pdf<\/em><\/em><\/p>\n\n\n\n

    \u76ee\u524d<\/em><\/strong><\/em><\/strong>\u6d8c\u73b0\u4ecd\u7136\u662f\u9ed1\u7bb1\uff0c\u6211\u4eec\u5bf9\u80fd\u529b\u6d8c\u73b0\u7684\u673a\u5236\u4e0e\u65b9\u5411\u8fd8\u6240\u77e5\u751a\u5c11\u3002<\/em><\/strong><\/em><\/strong><\/em><\/strong><\/em><\/strong><\/p>\n\n\n\n

    \u9488\u5bf9\u6d8c\u73b0\u6700\u6838\u5fc3\u7684\u8bba\u6587\u662f\u4ee5\u4e0b\u4e24\u7bc7\uff1a<\/em><\/em><\/p>\n\n\n\n

    Google+DeepMind+Stanford\u7b49\u300aEmergent Abilities of Large Language Models\u300b\uff08\u5927\u8bed\u8a00\u6a21\u578b\u7684\u6d8c\u73b0\u80fd\u529b\uff09https:\/\/openreview.net\/pdf?id=yzkSU5zdwD<\/em><\/em><\/p>\n\n\n\n

    UCLA 3\u4f4d\u6559\u6388\u300aEmergent Analogical Reasoning in Large Language Models\u300b\uff08\u7c7b\u6bd4\u63a8\u7406\u80fd\u529b\u5728\u5927\u8bed\u8a00\u6a21\u578b\u4e2d\u7684\u6d8c\u73b0\uff09https:\/\/arxiv.org\/pdf\/2212.09196.pdf<\/em><\/em><\/strong><\/em><\/strong><\/p>\n\n\n\n


    \u4ece AlphaGo \u5230 GPT\uff0c\u6ce8\u5b9a\u574e\u5777\u7684\u901a\u7528\u4eba\u5de5\u667a\u80fd\u4e4b\u8def<\/a><\/p>\n\n\n\n

    OpenAI \u63a8\u6d4b\uff0c\u6d8c\u73b0\u4e5f\u8bb8\u662f\u4e00\u79cd\u7c7b\u4f3c\u8fdb\u5316\u7684\u673a\u5236\u3002Ilya Sutskever\u7684\u8bba\u6587\u300a\u5b66\u4e60\u751f\u6210\u8bc4\u8bba\u5e76\u53d1\u73b0\u60c5\u611f\u300b\u4e2d\u63d0\u5230\uff0c\u5f53\u7ed9\u4e86\u8db3\u591f\u7684\u6a21\u578b\u5bb9\u91cf\u3001\u8bad\u7ec3\u6570\u636e\u548c\u8ba1\u7b97\u65f6\u95f4\u540e\uff0cGPT \u5927\u6a21\u578b\u5185\u90e8\u81ea\u884c\u4ea7\u751f\u4e86\u4e00\u4e2a\u60c5\u611f\u5206\u6790\u529f\u80fd\u5355\u5143\uff0c\u80fd\u51c6\u786e\u8fa8\u522b\u6587\u5b57\u662f\u5728\u8868\u8fbe\u559c\u60a6\u3001\u60b2\u4f24\u8fd8\u662f\u6124\u6012\u3002\uff08<\/em>\u7c7b\u4f3c\u4e8e\u300aAI3.0\u300b\u201c\u673a\u5668\u201c\u89c2\u5bdf\u201d\u5230\u7684\u4e1c\u897f\u6709\u65f6\u4e0e\u6211\u4eec\u622a\u7136\u4e0d\u540c\u201d\uff1a\u7f51\u7edc\u5b66\u4f1a\u7684\u662f\u5c06\u5177\u6709\u6a21\u7cca\u80cc\u666f\u7684\u56fe\u50cf\u5206\u5230\u201c\u5305\u542b\u52a8\u7269\u201d\u8fd9\u4e00\u7c7b\u522b\uff0c\u65e0\u8bba\u8be5\u56fe\u50cf\u662f\u5426\u771f\u7684\u5305\u542b\u4e00\u53ea\u52a8\u7269\u3002\uff09<\/em><\/p>\n\n\n\n

    \u8bba\u6587\u8ba4\u4e3a\uff0c\u8fd9\u6709\u53ef\u80fd\u662f\u56e0\u4e3a\u80fd\u8fa8\u522b\u60c5\u611f\u8272\u5f69\uff0c\u5bf9 GPT \u66f4\u597d\u5b8c\u6210\u5176\u76ee\u6807\uff0c\u5373\u9884\u6d4b\u4e0b\u4e00\u4e2a\u8bcd\u6709\u5f88\u5927\u5e2e\u52a9\u3002\u5c31\u50cf\u4eba\u7c7b\u4e3a\u4e86\u751f\u5b58\u7e41\u884d\u8fd9\u4e2a\u5355\u4e00\u76ee\u6807\uff0c\u8fdb\u5316\u51fa\u4e86\u590d\u6742\u7684\u751f\u7406\u7279\u5f81\u548c\u6587\u5316\u4e60\u4fd7\uff0c\u90a3\u4e9b\u66f4\u9002\u5b9c\u751f\u5b58\u3001\u8ba9\u79cd\u7fa4\u6269\u5927\u7684\u7279\u70b9\u4f1a\u88ab\u4fdd\u7559\uff0c\u6d8c\u73b0\u53ef\u80fd\u5c31\u662f\u8fd9\u6837\u4e00\u4e2a\u7c7b\u4f3c\u81ea\u7136\u9009\u62e9\u7684\u8fdb\u5316\u8fc7\u7a0b\u3002\u800c\u8fdb\u5316\u7684\u53e6\u4e00\u9762\u662f\u5931\u63a7<\/strong>\uff0c\u80fd\u8fdb\u5316\u7684\u4e1c\u897f\uff0c\u672c\u8eab\u4e0d\u4f1a\u662f\u5b8c\u5168\u53ef\u63a7\u548c\u53ef\u4ee5\u63d0\u524d\u8bbe\u8ba1\u7684<\/strong>\u3002\u8fdb\u5316\u4e0d\u5149\u521b\u9020\u65b0\u6280\u80fd\uff0c\u4e5f\u53ef\u80fd\u521b\u9020\u51fa\u5e7b\u89c9<\/strong>\u3002\u5b66\u4f1a\u4f7f\u7528\u4e00\u4e2a\u6b63\u5728\u5feb\u901f\u8fdb\u5316\u7684\u9ed1\u7bb1\u5de5\u5177\uff0c\u662f\u4eba\u7c7b\u4ee5\u524d\u6ca1\u9047\u5230\u8fc7\u7684\u8bfe\u9898\u3002\u6211\u4eec\u9700\u8981\u5728\u63a5\u53d7\u3001\u7406\u89e3\u548c\u9002\u5e94\u5931\u63a7\u7684\u524d\u63d0\u4e0b\uff0c\u5bfb\u627e\u53ef\u63a7\u7684\u90e8\u5206\uff0c\u907f\u514d\u5546\u4e1a\u98ce\u9669\u548c\u66f4\u5927\u7684\u98ce\u9669\u3002<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

    \u300aSparks of Artificial General Intelligence: Early exper […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/posts\/820"}],"collection":[{"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/comments?post=820"}],"version-history":[{"count":1,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/posts\/820\/revisions"}],"predecessor-version":[{"id":822,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/posts\/820\/revisions\/822"}],"wp:attachment":[{"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/media?parent=820"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/categories?post=820"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/47.92.147.95\/index.php\/wp-json\/wp\/v2\/tags?post=820"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}