OpenAI\u8868\u793a\uff0c\u4f01\u4e1a\u53ef\u4ee5\u4f7f\u7528\u5176\u6700\u65b0\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b(LLM) GPT-4\u6765\u5f00\u53d1\u4eba\u5de5\u667a\u80fd(AI)\u8f85\u52a9\u5185\u5bb9\u5ba1\u6838\u7cfb\u7edf\u3002<\/p>\n
\u8be5\u516c\u53f8\u5728\u5468\u4e8c(8\u670815\u65e5)\u7684\u4e00\u7bc7\u535a\u5ba2\u6587\u7ae0\u4e2d\u8868\u793a\uff0c\u901a\u8fc7\u4f7f\u7528GPT-4\uff0c\u516c\u53f8\u53ef\u4ee5\u4f7f\u7528\u66f4\u51c6\u786e\u548c\u4e00\u81f4\u7684\u6807\u7b7e\u8fdb\u884c\u5185\u5bb9\u5ba1\u6838\uff0c\u66f4\u5feb\u5730\u53cd\u9988\u653f\u7b56\u5b8c\u5584\uff0c\u5e76\u51cf\u5c11\u5bf9\u4eba\u5de5\u5e72\u9884\u7684\u9700\u6c42\u3002<\/p>\n
OpenAI\u5728\u5e16\u5b50\u4e2d\u8868\u793a\uff1a\u201c\u6211\u4eec\u76f8\u4fe1\u8fd9\u4e3a\u6570\u5b57\u5e73\u53f0\u7684\u672a\u6765\u63d0\u4f9b\u4e86\u4e00\u4e2a\u66f4\u79ef\u6781\u7684\u524d\u666f\uff0c\u4eba\u5de5\u667a\u80fd\u53ef\u4ee5\u6839\u636e\u5e73\u53f0\u7279\u5b9a\u7684\u653f\u7b56\u5e2e\u52a9\u8c03\u8282\u5728\u7ebf\u6d41\u91cf\uff0c\u5e76\u51cf\u8f7b\u5927\u91cf\u4eba\u5de5\u7248\u4e3b\u7684\u7cbe\u795e\u8d1f\u62c5\u3002\u4efb\u4f55\u62e5\u6709OpenAI API(\u5e94\u7528\u7a0b\u5e8f\u7f16\u7a0b\u63a5\u53e3)\u8bbf\u95ee\u6743\u9650\u7684\u4eba\u90fd\u53ef\u4ee5\u5b9e\u73b0\u8fd9\u79cd\u65b9\u6cd5\u6765\u521b\u5efa\u81ea\u5df1\u7684AI\u8f85\u52a9\u5ba1\u6838\u7cfb\u7edf\u3002\u201d<\/p>\n
\u5e16\u5b50\u79f0\uff0c\u5185\u5bb9\u5ba1\u6838\u901a\u5e38\u662f\u4e00\u4e2a\u7f13\u6162\u800c\u5177\u6709\u6311\u6218\u6027\u7684\u8fc7\u7a0b\uff0c\u56e0\u4e3a\u5b83\u8981\u6c42\u7ec6\u81f4\u5165\u5fae\u3001\u5bf9\u4e0a\u4e0b\u6587\u654f\u611f\uff0c\u5e76\u80fd\u5feb\u901f\u9002\u5e94\u65b0\u7684\u7528\u4f8b\u3002\u5728GPT-4\u7684\u5e2e\u52a9\u4e0b\uff0c\u653f\u7b56\u66f4\u65b0\u548c\u6807\u7b7e\u7684\u8fc7\u7a0b\u53ef\u4ee5\u4ece \u201c\u51e0\u4e2a\u6708\u7f29\u77ed\u5230\u51e0\u4e2a\u5c0f\u65f6\u201d\u3002<\/p>\n
\u5e16\u5b50\u8bf4\uff0c\u4f7f\u7528GPT-4\u53ef\u4ee5\u5728\u8fed\u4ee3\u8fc7\u7a0b\u4e2d\u5b8c\u5584\u653f\u7b56\uff0c\u6df1\u5165\u4e86\u89e3\u6807\u7b7e\u80cc\u540e\u7684\u539f\u56e0\u548c\u653f\u7b56\u5b9a\u4e49\u4e2d\u7684\u6a21\u7cca\u4e4b\u5904\uff0c\u5e76\u8fdb\u4e00\u6b65\u6f84\u6e05\u653f\u7b56\u3002<\/p>\n
\u5e16\u5b50\u79f0\uff0cGPT-4\u8fd8\u80fd\u7406\u89e3\u548c\u751f\u6210\u81ea\u7136\u8bed\u8a00\uff0c\u5e76\u6839\u636e\u63d0\u4f9b\u7684\u653f\u7b56\u6307\u5357\u505a\u51fa\u5ba1\u6838\u5224\u65ad\u3002<\/p>\n
OpenAI\u5728\u5e16\u5b50\u4e2d\u8868\u793a\uff1a\u201c\u901a\u8fc7\u51cf\u5c11\u4eba\u7c7b\u5bf9\u8bed\u8a00\u6a21\u578b\u5904\u7406\u7684\u5ba1\u6838\u8fc7\u7a0b\u67d0\u4e9b\u90e8\u5206\u7684\u53c2\u4e0e\uff0c\u4eba\u529b\u8d44\u6e90\u53ef\u4ee5\u66f4\u4e13\u6ce8\u4e8e\u89e3\u51b3\u653f\u7b56\u4f18\u5316\u6700\u9700\u8981\u7684\u590d\u6742\u8fb9\u7f18\u60c5\u51b5\u3002\u201d<\/p>\n
OpenAI\u57283\u6708\u4efd\u8868\u793a\uff0c\u5b83\u4e00\u76f4\u5728\u5185\u90e8\u4f7f\u7528\u6700\u65b0\u7248\u672c\u7684ChatGPT\u8fdb\u884c\u5185\u5bb9\u5ba1\u6838\uff0c\u4ee5\u53ca\u652f\u6301\u3001\u9500\u552e\u548c\u7f16\u7a0b\u7b49\u5176\u4ed6\u529f\u80fd\u3002<\/p>\n
\u5728\u8be5\u516c\u53f8\u53d1\u5e03\u8fd9\u7bc7\u535a\u6587\u7684\u56db\u5929\u524d\uff0c\u6709\u62a5\u9053\u79f0\uff0cHive AI\u6b63\u52aa\u529b\u5728\u4e00\u8f6e\u878d\u8d44\u4e2d\u7b79\u96c62\u4ebf\u7f8e\u5143\uff0c\u4f30\u503c\u9ad8\u8fbe40\u4ebf\u7f8e\u5143\u3002Hive AI\u662f\u4e00\u5bb6\u5229\u7528\u4eba\u5de5\u667a\u80fd\u5bf9\u6570\u5b57\u5185\u5bb9\u8fdb\u884c\u5ba1\u6838\u7684\u8f6f\u4ef6\u516c\u53f8\u3002<\/p>\n
\u636e\u5f6d\u535a\u793e\u5468\u4e94(8\u670811\u65e5)\u62a5\u9053\uff0cHive\u7684\u5185\u5bb9\u5ba1\u6838\u670d\u52a1\u88ab\u8bb8\u591a\u4e0d\u540c\u7684\u516c\u53f8\u4f7f\u7528\uff0c\u5305\u62ecVisa\u3001Netflix\u548cReddit\uff0c\u5e2e\u52a9\u4ed6\u4eec\u66f4\u597d\u5730\u8bc6\u522b\u548c\u5c4f\u853d\u5e73\u53f0\u4e0a\u4e0d\u9700\u8981\u7684\u5185\u5bb9\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
OpenAI\u8868\u793a\uff0c\u4f01\u4e1a\u53ef\u4ee5\u4f7f\u7528\u5176\u6700\u65b0\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b(LLM) GPT-4\u6765\u5f00\u53d1\u4eba\u5de5\u667a\u80fd(AI)\u8f85\u52a9\u5185\u5bb9\u5ba1\u6838\u7cfb\u7edf\u3002 \u8be5\u516c\u53f8\u5728\u5468\u4e8c(8\u670815\u65e5)\u7684\u4e00\u7bc7\u535a\u5ba2\u6587\u7ae0\u4e2d\u8868\u793a […]<\/a><\/p>\n<\/div>","protected":false},"author":42,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[],"class_list":{"0":"post-42960","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-technology"},"_links":{"self":[{"href":"https:\/\/www.ibnews.com\/cn\/wp-json\/wp\/v2\/posts\/42960","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ibnews.com\/cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ibnews.com\/cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ibnews.com\/cn\/wp-json\/wp\/v2\/users\/42"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ibnews.com\/cn\/wp-json\/wp\/v2\/comments?post=42960"}],"version-history":[{"count":0,"href":"https:\/\/www.ibnews.com\/cn\/wp-json\/wp\/v2\/posts\/42960\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.ibnews.com\/cn\/wp-json\/wp\/v2\/media?parent=42960"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ibnews.com\/cn\/wp-json\/wp\/v2\/categories?post=42960"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ibnews.com\/cn\/wp-json\/wp\/v2\/tags?post=42960"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}