{"id":11358,"date":"2024-08-08T21:01:57","date_gmt":"2024-08-08T13:01:57","guid":{"rendered":"https:\/\/17aitech.com\/?p=11358"},"modified":"2024-08-13T03:03:08","modified_gmt":"2024-08-12T19:03:08","slug":"%e8%85%be%e8%ae%af%e5%a4%a7%e6%a8%a1%e5%9e%8bapp%e5%85%83%e5%ae%9d%e4%b8%8a%e7%ba%bf%ef%bc%8c%e6%88%91%e4%bb%ac%e7%94%a8%e5%ae%83%e3%80%8c%e5%8d%95%e6%8c%91%e3%80%8d%e4%ba%86%e4%b8%8bgpt-4o","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=11358","title":{"rendered":"\u817e\u8baf\u5927\u6a21\u578bApp\u5143\u5b9d\u4e0a\u7ebf\uff0c\u6211\u4eec\u7528\u5b83\u300c\u5355\u6311\u300d\u4e86\u4e0bGPT-4o"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u817e\u8baf\u5927\u6a21\u578bApp\u5143\u5b9d\u4e0a\u7ebf\uff0c\u6211\u4eec\u7528\u5b83\u300c\u5355\u6311\u300d\u4e86\u4e0bGPT-4o<\/a><\/p>\n

\n
\n
\u817e\u8baf<\/mark>\u5143\u5b9d VS GPT-4o\uff0c\u7a76\u7adf\u8c01\u6280\u9ad8\u4e00\u7b79\uff1f<\/section>\n<\/section>\n<\/blockquote>\n

\u6700\u8fd1\uff0c\u817e\u8baf<\/mark>\u4e00\u6539\u5f80\u65e5\u7684\u6162\u6027\u5b50\uff0c\u5ffd\u7136\u300c\u5377\u300d\u8d77\u6765\u4e86\uff1a<\/p>\n

5 \u6708 14 \u65e5\uff0c\u817e\u8baf<\/mark>\u5168\u9762\u5f00\u6e90\u6df7\u5143\u6587\u751f\u56fe\u6a21\u578b\uff1b<\/p>\n

5 \u6708 17 \u65e5\uff0c\u817e\u8baf<\/mark>\u53d1\u5e03\u4e00\u7ad9\u5f0f AI \u667a\u80fd\u4f53\u521b\u4f5c\u4e0e\u5206\u53d1\u5e73\u53f0\u300c\u817e\u8baf<\/mark>\u5143\u5668\u300d\uff1b<\/p>\n

5 \u6708 30 \u65e5\uff0c\u57fa\u4e8e\u6df7\u5143\u5927\u6a21\u578b\u7684 App\u300c\u817e\u8baf<\/mark>\u5143\u5b9d\u300d\u6b63\u5f0f\u4e0a\u7ebf\uff0c\u76ee\u524d\u5e94\u7528\u5546\u5e97\u5df2\u7ecf\u53ef\u4ee5\u4e0b\u8f7d\u3002<\/p>\n

\u817e\u8baf<\/mark>\u5143\u5b9d\u662f\u4e00\u4e2a\u57fa\u4e8e\u6df7\u5143\u5927\u6a21\u578b\u53ca\u641c\u7d22\u5f15\u64ce\u9a71\u52a8\u7684\u9ad8\u6548\u4fe1\u606f\u6574\u5408\u5de5\u5177\uff0c\u754c\u9762\u8bbe\u8ba1\u7b80\u6d01\uff0c\u53ef\u4ee5\u641c\u7d22\u5b9e\u65f6\u4fe1\u606f\uff0c\u4e5f\u53ef\u4ee5\u5bf9\u4e0a\u4f20\u7684\u591a\u683c\u5f0f\u6587\u6863\u8fdb\u884c\u603b\u7ed3\u3001\u7ffb\u8bd1\uff0c\u8fd8\u80fd\u8bed\u97f3\u5bf9\u8bdd\u7ec3\u4e60\u53e3\u8bed\u3002<\/p>\n

\u800c\u6b64\u6b21\u817e\u8baf<\/mark>\u5143\u5b9d\u4ea7\u54c1\u80fd\u529b\u5347\u7ea7\u7684\u80cc\u540e\uff0c\u662f\u817e\u8baf<\/mark>\u6df7\u5143\u5e95\u5c42\u6a21\u578b\u7684\u6301\u7eed\u8fed\u4ee3\u3002<\/p>\n

\u636e\u4ecb\u7ecd\uff0c\u81ea 2023 \u5e74 9 \u6708\u9996\u6b21\u4eae\u76f8\u4ee5\u6765\uff0c\u817e\u8baf<\/mark>\u6df7\u5143\u5927\u6a21\u578b\u7684\u53c2\u6570<\/mark>\u89c4\u6a21\u5df2\u4ece\u5343\u4ebf\u5347\u7ea7\u81f3\u4e07\u4ebf\uff0c\u9884\u8bad\u7ec3\u8bed\u6599\u4ece\u4e07\u4ebf\u5347\u7ea7\u81f3 7 \u4e07\u4ebf tokens\uff0c\u5e76\u7387\u5148\u5347\u7ea7\u4e3a\u591a\u4e13\u5bb6\u6a21\u578b\u7ed3\u6784\uff08MoE\uff09\uff0c\u6574\u4f53\u6027\u80fd\u76f8\u6bd4 Dense \u7248\u672c\u63d0\u5347\u8d85 50%\u3002<\/p>\n

\u6211\u4eec\u7b2c\u4e00\u65f6\u95f4\u62ff\u5230\u4e86\u817e\u8baf<\/mark>\u5143\u5b9d\u7684\u4f53\u9a8c\u8d44\u683c\uff0c\u4eca\u5929\u5c31\u62ff\u51fa\u6765 \u201c\u905b\u4e00\u905b\u201d\u3002<\/p>\n

\u817e\u8baf<\/mark>\u5143\u5b9d\u300c\u5355\u6311\u300dGPT-4o<\/strong><\/p>\n

\u76f8\u6bd4\u6b64\u524d\u6d4b\u8bd5\u9636\u6bb5\u7684\u6df7\u5143\u5c0f\u7a0b\u5e8f\u7248\u672c\uff0c\u9762\u5411\u5de5\u4f5c\u6548\u7387\u573a\u666f\uff0c\u817e\u8baf<\/mark>\u5143\u5b9d\u63d0\u4f9b\u4e86 AI \u641c\u7d22\u3001AI \u603b\u7ed3\u3001AI \u5199\u4f5c\u7b49\u6838\u5fc3\u80fd\u529b\u3002<\/p>\n

\u6ca1\u6709\u5bf9\u6bd4\u5c31\u6ca1\u6709\u53d1\u8a00\u6743\u3002\u6211\u4eec\u51b3\u5b9a\u8ba9\u817e\u8baf<\/mark>\u5143\u5b9d\u548c\u5927\u6d0b\u5f7c\u5cb8\u7684 GPT-4o \u8fdb\u884c\u8f83\u91cf\u3002<\/p>\n

Round 1\uff1aAI \u641c\u7d22<\/strong><\/p>\n

\u5982\u4eca\uff0cAI \u641c\u7d22\u662f\u9999\u997d\u997d\u3002<\/p>\n

\u65e0\u8bba\u662f\u300c\u641c\u7d22\u4e4b\u738b\u300d\u8c37\u6b4c\u8fd8\u662f\u65b0\u664b\u9876\u6d41 OpenAI\uff0c\u90fd\u5728 AI \u641c\u7d22\u4e0a\u505a\u6587\u7ae0\uff0c\u751a\u81f3\u6210\u7acb\u4e0d\u5230 2 \u5e74\u7684 Perplexity AI \u90fd\u6210\u4e86\u9ec4\u4ec1\u52cb\u7684\u300c\u5fc3\u5934\u597d\u300d\u3002\u82f1\u4f1f\u8fbe\u521b\u59cb\u4eba\u9ec4\u4ec1\u52cb\u66fe\u516c\u5f00\u8868\u793a\uff0c\u81ea\u5df1\u6700\u7231\u7528\u7684 AI \u5de5\u5177\u662f Perplexity\u3002<\/p>\n

\u817e\u8baf<\/mark>\u5143\u5b9d\u81ea\u7136\u4e0a\u7ebf\u4e86\u8fd9\u4e00\u529f\u80fd\u3002<\/p>\n

\u8981\u77e5\u9053\uff0c\u5fae\u4fe1\u516c\u4f17\u53f7\u6bcf\u5929\u90fd\u751f\u6210\u5927\u91cf\u4f18\u8d28\u6df1\u5ea6\u6587\u7ae0\uff0c\u80cc\u9760\u8fd9\u68f5\u5927\u6811\uff0c\u817e\u8baf<\/mark>\u7684 AI \u641c\u7d22\u529f\u80fd\u6709\u7740\u5f97\u5929\u72ec\u539a\u7684\u4f18\u52bf\u3002<\/p>\n

\u6211\u4eec\u5728\u300c\u817e\u8baf<\/mark>\u5143\u5b9d\u300d\u4e0b\u65b9\u8f93\u5165\u6846\u4e2d\u8f93\u5165\u300c\u73b0\u5728\u9002\u5408\u4e70\u9ec4\u91d1\u5417\uff1f\u300d<\/p>\n

\uff08\u6e29\u99a8\u63d0\u793a\uff1a\u6295\u8d44\u9700\u8c28\u614e\uff09<\/p>\n

\u817e\u8baf<\/mark>\u5143\u5b9d\u7684\u56de\u7b54\uff1a<\/p>\n

<\/a><\/p>\n

GPT-4o \u7684\u56de\u7b54\uff1a<\/p>\n

<\/a><\/p>\n

\u9996\u5148\uff0c\u4ece\u54cd\u5e94\u901f\u5ea6\u4e0a\u6765\u8bf4\uff0c\u4e8c\u8005\u53ef\u4ee5\u8bf4\u662f\u4e0d\u76f8\u4e0a\u4e0b\uff0c\u51e0\u79d2\u949f\u65f6\u95f4\uff0c\u817e\u8baf<\/mark>\u5143\u5b9d\u5c31\u53c2\u8003\u5b8c 9 \u7bc7\u8d44\u6599\uff0c\u5e76\u7ed9\u51fa\u4e86\u56de\u7b54\u3002<\/p>\n

\u5176\u6b21\uff0c\u4ece\u56de\u7b54\u5185\u5bb9\u4e0a\u6765\u8bf4\uff0c\u817e\u8baf<\/mark>\u5143\u5b9d\u4f3c\u4e4e\u66f4\u80dc\u4e00\u7b79\u3002GPT-4o \u4ec5\u4ec5\u7ed9\u51fa\u4e86\u8d2d\u4e70\u9ec4\u91d1\u9700\u8981\u8003\u8651\u7684\u51e0\u4e2a\u56e0\u7d20\uff0c\u800c\u817e\u8baf<\/mark>\u5143\u5b9d\u7684\u7b54\u6848\u6db5\u76d6\u9ec4\u91d1\u4ef7\u683c\u8d70\u52bf\u9884\u6d4b\u3001\u6295\u8d44\u98ce\u9669\u4ee5\u53ca\u6295\u8d44\u7b56\u7565\uff0c\u800c\u4e14\u6bcf\u6761\u5747\u6709\u5f15\u7528\uff0c\u8fd9\u5c31\u907f\u514d\u4e86\u5927\u6a21\u578b\u300c\u6ee1\u5634\u8dd1\u706b\u8f66\u300d\u7684\u7f3a\u70b9\u3002<\/p>\n

\u6b64\u5916\uff0c \u817e\u8baf<\/mark>\u8fd9\u6b21\u771f\u7684\u628a\u597d\u94a2\u7528\u5728\u4e86\u5200\u5203\u4e0a\u3002\u9664\u4e86\u63a8\u8350\u4e86\u76f8\u5173\u516c\u4f17\u53f7\u6587\u7ae0\u5916\uff0c\u817e\u8baf<\/mark>\u5143\u5b9d\u8fd8\u5728\u9996\u9875\u4e0a\u7ebf\u4e86\u5feb\u901f\u64ad\u62a5\u529f\u80fd\uff0c\u5bf9\u5f53\u524d\u6700\u65b0\u3001\u6700\u91cd\u8981\u7684\u8d44\u8baf\u8fdb\u884c\u6458\u8981\u603b\u7ed3\uff0c\u800c\u4e14\u6bcf\u6761\u8d44\u8baf\u90fd\u4f1a\u63d0\u4f9b\u817e\u8baf<\/mark>\u65b0\u95fb\u7684\u94fe\u63a5\u3002<\/p>\n

\u8fd9\u4e00\u5c40\uff0c\u817e\u8baf<\/mark>\u5143\u5b9d\u80dc\uff01<\/p>\n

Round2\uff1a\u6587\u6863\u603b\u7ed3<\/strong><\/p>\n

\u8be5\u529f\u80fd\u65e8\u5728\u5e2e\u52a9\u7528\u6237\u9ad8\u6548\u83b7\u53d6\u548c\u5904\u7406\u6587\u6863\u4fe1\u606f\uff0c\u817e\u8baf<\/mark>\u5143\u5b9d\u80fd\u591f\u5904\u7406\u591a\u79cd\u683c\u5f0f\u7684\u6587\u6863\uff0c\u4f8b\u5982 PDF\u3001Word\u3001Excel \u7b49\u3002<\/p>\n

\u524d\u51e0\u5929\u817e\u8baf<\/mark>\u6b63\u597d\u53d1\u5e03\u4e86 2024 \u5e74\u7b2c\u4e00\u5b63\u5ea6\u8d22\u62a5\uff0c\u6211\u4eec\u4e0b\u8f7d\u4e86\u4e00\u4efd\u3002<\/p>\n

\u8fd9\u4efd\u957f\u8fbe 48 \u9875\u30013.2 \u4e07\u5b57\u7684\u8d22\u62a5\uff0c\u4e0d\u4ec5\u6570\u5b57\u591a\uff0c\u8fd8\u662f\u7e41\u4f53\u5b57\uff0c\u770b\u5f97\u4eba\u8111\u74dc\u5b50\u75bc\u3002\u8fd9\u65f6 AI \u5c31\u6d3e\u4e0a\u7528\u573a\u4e86\u3002<\/p>\n

\u6211\u4eec\u5c06\u8fd9\u4efd\u8d22\u62a5\u5206\u522b\u4e0a\u4f20\u5230\u817e\u8baf<\/mark>\u5143\u5b9d\u548c GPT-4o\uff0c\u8ba9\u4ed6\u4eec\u5404\u81ea\u5206\u6790\u4e00\u4e0b\u817e\u8baf<\/mark>\u5f00\u5e74\u7b2c\u4e00\u5b63\u5ea6\u7684\u8425\u6536\u60c5\u51b5\u3002<\/p>\n

\u817e\u8baf<\/mark>\u5143\u5b9d\uff1a<\/p>\n

<\/a><\/p>\n

GPT-4o:<\/a><\/p>\n

\u603b\u4f53\u6765\u770b\uff0c\u5b83\u4eec\u56de\u7b54\u5f97\u6761\u5206\u7f15\u6790\u3002\u4e24\u76f8\u6bd4\u8f83 GPT-4o \u7684\u7b54\u6848\u66f4\u52a0\u4e30\u5bcc\uff0c\u9664\u4e86\u8d22\u52a1\u8868\u73b0\u548c\u4e3b\u8981\u4e1a\u52a1\u8868\u73b0\u5916\uff0cGPT-4o \u8fd8\u63d0\u4f9b\u4e86\u8fd0\u8425\u6570\u636e\u3001\u8d22\u52a1\u72b6\u51b5\u7b49\u3002<\/p>\n

\u8d22\u52a1\u62a5\u8868\u91cd\u5728\u51c6\u786e\u3002\u6211\u4eec\u62ff\u7740\u8fd9\u5806\u6570\u636e\u4e00\u4e00\u6821\u5bf9\uff0c\u679c\u7136\u8fd8\u662f\u627e\u5230\u4e86 bug\u3002<\/p>\n

\u817e\u8baf<\/mark>\u4e00\u5b63\u5ea6\u7684\u5176\u4ed6\u6536\u5165\u5e94\u4e3a 20.6 \u4ebf\u5143\uff0c\u817e\u8baf<\/mark>\u5143\u5b9d\u5374\u5199\u6210 206 \u4ebf\u5143\uff0c\u5728\u6362\u7b97\u8fc7\u7a0b\u4e2d\u628a\u5c0f\u6570\u70b9\u70b9\u9519\u4e86\u3002<\/p>\n

<\/a><\/p>\n

\u800c GPT-4o \u7684\u6570\u636e\u5168\u90e8\u6b63\u786e\u3002<\/p>\n

\u8fd9\u4e00\u5c40\uff0cGPT-4o \u80dc\uff01<\/p>\n

Round3\uff1a\u7f51\u9875\u603b\u7ed3<\/strong><\/p>\n

\u8fd9\u662f\u4e00\u79cd\u81ea\u52a8\u63d0\u53d6\u7f51\u9875\u5173\u952e\u4fe1\u606f\u7684\u529f\u80fd\uff0c\u5728\u7528\u6237\u6d4f\u89c8\u5927\u91cf\u4fe1\u606f\u65f6\uff0c\u5b83\u80fd\u5feb\u901f\u6293\u4f4f\u7f51\u9875\u5185\u5bb9\u7684\u91cd\u70b9\uff0c\u4ece\u800c\u8282\u7701\u9605\u8bfb\u65f6\u95f4\uff0c\u63d0\u9ad8\u6548\u7387\u3002<\/p>\n

\u4e0a\u5468\uff0c\u673a\u5668\u4e4b\u5fc3<\/mark>\u53d1\u5e03\u4e86\u4e00\u7bc7\u540d\u4e3a\u300a\u674e\u98de\u98de<\/mark>\u4eb2\u81ea\u64b0\u6587\uff1a\u5927\u6a21\u578b\u4e0d\u5b58\u5728\u4e3b\u89c2\u611f\u89c9\u80fd\u529b\uff0c\u591a\u5c11\u4ebf\u53c2\u6570<\/mark>\u90fd\u4e0d\u884c\u300b\u7684\u6587\u7ae0\u3002\u6211\u4eec\u5c06\u8be5\u6587\u7ae0\u94fe\u63a5\u5206\u522b\u4e22\u7ed9\u817e\u8baf<\/mark>\u5143\u5b9d\u548c GPT-4o\uff0c\u8ba9\u4ed6\u4fe9\u603b\u7ed3\u94fe\u63a5\u5185\u5bb9\u3002<\/p>\n

\u817e\u8baf<\/mark>\u5143\u5b9d\uff1a<\/a><\/p>\n

GPT-4o:<\/a><\/p>\n

\u817e\u8baf<\/mark>\u5143\u5b9d\u9886\u5230\u4efb\u52a1\u540e\u300c\u57cb\u5934\u603b\u7ed3\u300d\uff0c\u4ece\u674e\u98de\u98de<\/mark>\u7684\u770b\u6cd5\u3001\u7a7a\u95f4\u667a\u80fd\u4e0e AI\u3001AI \u611f\u89c9\u80fd\u529b\u7684\u4e89\u8bae\u3001AI \u611f\u89c9\u80fd\u529b\u7684\u9519\u8bef\u63a8\u7406\u3001AI \u4e0e\u4eba\u7c7b\u667a\u80fd\u7684\u533a\u522b\u4ee5\u53ca\u672a\u6765\u5c55\u671b\u7b49 6 \u4e2a\u65b9\u9762\u8fdb\u884c\u4e86\u6982\u62ec\u3002<\/p>\n

\u4e0d\u5f97\u4e0d\u8bf4\uff0c\u5b83\u603b\u7ed3\u5f97\u8fd8\u633a\u5230\u4f4d\u3002<\/p>\n

\u4e0d\u8fc7\uff0cGPT-4o \u4e34\u65f6\u6389\u94fe\u5b50\uff0c\u300c\u6211\u65e0\u6cd5\u76f4\u63a5\u8bbf\u95ee\u6240\u63d0\u4f9b\u94fe\u63a5\u7684\u5177\u4f53\u5185\u5bb9\u300d\uff0c\u8fd8\u8ba9\u6211\u4eec\u63d0\u4f9b\u6587\u7ae0\u63cf\u8ff0\u6216\u8981\u70b9\uff0cGPT-4o \u662f\u61d2\u5f97\u660e\u660e\u767d\u767d\u3002<\/p>\n

\u8fd9\u4e00 part\uff0c\u817e\u8baf<\/mark>\u5143\u5b9d\u5b8c\u80dc\uff01<\/p>\n

Round4\uff1aAI \u4f5c\u56fe<\/strong><\/p>\n

\u591a\u6a21\u6001\u4e5f\u662f\u91cd\u70b9\u8003\u5bdf\u5bf9\u8c61\u3002<\/p>\n

\u6211\u4eec\u5c31\u6765\u770b\u770b\u8fd9\u4e24\u4e2a AI \u7684\u753b\u529f\u3002<\/p>\n

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<\/a><\/p>\n

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<\/a><\/p>\n

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<\/a><\/p>\n

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<\/a><\/p>\n

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