{"id":6316,"date":"2024-06-26T23:52:35","date_gmt":"2024-06-26T15:52:35","guid":{"rendered":"https:\/\/aict.nkust.edu.tw\/digitrans\/?p=6316"},"modified":"2024-12-13T21:00:44","modified_gmt":"2024-12-13T13:00:44","slug":"gpt-4o%e8%88%87claude3-5%e5%af%a6%e6%b8%ac%ef%bc%9a%e5%ae%832%e9%a0%85%e5%8b%9d%e5%87%ba%ef%bc%81%e7%ab%9f%e6%87%82%e5%8f%b0%e8%aa%9e%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/aict.nkust.edu.tw\/digitrans\/?p=6316","title":{"rendered":"GPT-4o\u8207Claude3.5\u5be6\u6e2c\uff1a\u5b832\u9805\u52dd\u51fa\uff01\u7adf\u61c2\u53f0\u8a9e\uff1f"},"content":{"rendered":"\n

2024-06-26 | \u90ed\u5b87\u7487<\/p>\n\n\n\n

\n

Anthropic 20\u65e5\u63a8\u51fa\u6700\u65b0AI\u7248\u672cClaude 3.5\uff0c\u8072\u7a31\u80fd\u6253\u6557OpenAI\u5099\u53d7\u95dc\u6ce8\u7684GPT-4o\uff01\u5c0d\u4e00\u822c\u4f7f\u7528\u8005\u800c\u8a00\uff0cClaude 3.5\u548cChatGPT-4o\uff0c\u8ab0\u624d\u662fAI\u754c\u7684\u5be6\u7528\u738b\u8005\uff1f\u672c\u6587\u7cbe\u90785\u500b\u65e5\u5e38AI\u61c9\u7528\u60c5\u5883\uff0c\u5305\u62ec\u5c0d\u9019\u985e\u6b50\u7f8e\u5927\u6a21\u578b\u4f86\u8aaa\uff0c\u6311\u6230\u96e3\u5ea6\u9817\u9ad8\u7684\u53f0\u8a9e\u7406\u89e3\u3002\u9019\u5169\u9805\u5de5\u5177\u5230\u5e95\u6700\u5f8c\u5dee\u5225\u8207\u512a\u7f3a\u9ede\u5404\u5728\u54ea\uff1f\u8ab0\u5728\u5169\u9805\u4e2d\u52dd\u51fa\uff0c\u5176\u9918\u5e73\u624b\uff1f<\/p>\n<\/blockquote>\n\n\n\n

\u3010\u76ee\u9304\u3011<\/strong><\/p>\n\n\n\n

\u25cf\u00a0\u5982\u4f55\u4f7f\u7528Claude 3.5\uff1f
\u25cf\u00a0\u5982\u4f55\u4f7f\u7528ChatGPT-4o\uff1f
\u25cf\u00a0Claude 3.5 vs. ChatGPT-4o\u4f7f\u7528\u6bd4\u8f03
–\u00a0\u5be6\u6e2c1\uff1a\u767c\u60f3\u5275\u610f\u6599\u7406
–\u00a0\u5be6\u6e2c2\uff1a\u751f\u6210\u6587\u7ae0
–\u00a0\u5be6\u6e2c3\uff1a\u64d4\u4efb\u71df\u990a\u5e2b
–\u00a0\u5be6\u6e2c4\uff1a\u7528python\u505a\u5c0f\u904a\u6232
–\u00a0\u5be6\u6e2c5\uff1a\u7ffb\u8b6f\u53f0\u8a9e
\u25cf\u00a0\u6700\u7d42\u6bd4\u8f03\uff0c\u5169\u8005\u512a\u7f3a\u9ede<\/p>\n\n\n\n

\u5982\u4f55\u4f7f\u7528Claude 3.5\uff1f<\/h2>\n\n\n\n

\u76ee\u524dClaude 3.5\u5df2\u958b\u653e\u514d\u8cbb\u9ad4\u9a57\uff0c\u4ed8\u8cbb\u7528\u6236\u5247\u53ef\u64c1\u6709\u66f4\u9ad8\u7684\u4f7f\u7528\u984d\u5ea6\u3002\u9032\u5165Claude\u7db2\u7ad9\u4e26\u767b\u5165\u5f8c\uff0c\u76f4\u63a5\u8f38\u5165\u554f\u984c\u5373\u53ef\u4f7f\u7528\u6700\u65b0\u7684Claude 3.5\u6a21\u578b\u3002<\/p>\n\n\n

\n
\"Claude<\/figure>\n<\/div>\n\n\n

Claude 3.5\u5df2\u958b\u653e\u514d\u8cbb\u4f7f\u7528\u3002\u622a\u53d6\u81eaClaude<\/p>\n\n\n\n

\u5982\u4f55\u4f7f\u7528ChatGPT-4o\uff1f<\/h2>\n\n\n\n

ChatGPT-4o\u4e5f\u53ef\u514d\u8cbb\u4f7f\u7528\uff0c\u4ed8\u8cbb\u7528\u6236\u540c\u6a23\u4eab\u6709\u6bd4\u514d\u8cbb\u7528\u6236\u66f4\u9ad8\u7684\u4f7f\u7528\u984d\u5ea6\u3002\u5728ChatGPT\u4f7f\u7528\u4ecb\u9762\u7684\u5de6\u4e0a\u89d2\uff0c\u9078\u64c7\u6700\u65b0\u6a21\u578bGPT-4o\u5f8c\uff0c\u4fbf\u80fd\u958b\u59cb\u4f7f\u7528\u3002<\/p>\n\n\n

\n
\"ChatGPT-4o\u4e5f\u53ef\u514d\u8cbb\u4f7f\u7528\u3002\u622a\u53d6\u81eaChatGPT\"\/<\/figure>\n<\/div>\n\n\n

ChatGPT-4o\u4e5f\u53ef\u514d\u8cbb\u4f7f\u7528\u3002\u622a\u53d6\u81eaChatGPT<\/p>\n\n\n\n

Claude 3.5 vs. GPT-4o \u5be6\u6e2c1\uff1a\u767c\u60f3\u5275\u610f\u6599\u7406<\/h2>\n\n\n\n

\u60f3\u5728\u4e0b\u5eda\u6642\u7372\u5f97\u4e00\u4e9b\u5275\u610f\u6599\u7406\u9748\u611f\uff0c\u53ef\u4ee5\u554f\u554fAI\u3002\u8981\u6c42\u5169\u6b3eAI\u5c07\u53f0\u7063\u7279\u8272\u6599\u7406\u548c\u8292\u679c\u7d50\u5408\uff0c\u8a2d\u8a08\u5275\u610f\u5957\u9910\u3002\u5169\u8005\u63d0\u4f9b\u7684\u83dc\u55ae\u7686\u6709\u7b26\u5408\u8981\u6c42\uff0c\u4e0d\u904eClaude\u7684\u8aaa\u660e\u8f03\u8a73\u7d30\uff0c\u83dc\u8272\u4e5f\u8f03\u6709\u5275\u610f\u3002<\/p>\n\n\n

\n
\"\u5be6\u6e2cClaude<\/figure>\n<\/div>\n\n\n

\u5be6\u6e2cClaude 3.5\u767c\u60f3\u5275\u610f\u6599\u7406\u3002\u622a\u53d6\u81eaClaude<\/p>\n\n\n

\n
\"\u5be6\u6e2cGPT-4o\u767c\u60f3\u5275\u610f\u6599\u7406\u3002\u622a\u53d6\u81eaChatGPT\"\/<\/figure>\n<\/div>\n\n\n

\u5be6\u6e2cGPT-4o\u767c\u60f3\u5275\u610f\u6599\u7406\u3002\u622a\u53d6\u81eaChatGPT<\/p>\n\n\n\n

Claude 3.5 vs. GPT-4o \u5be6\u6e2c2\uff1a\u751f\u6210\u6587\u7ae0<\/h2>\n\n\n\n

\u8981\u6c42\u5169\u6b3eAI\u4ee5\u300c\u672a\u4f86\u4e16\u754c\u7684\u4eba\u985e\u8207AI\u5408\u4f5c\u300d\u70ba\u4e3b\u984c\uff0c\u5beb\u4e00\u7bc7\u6587\u7ae0\u3002\u7d50\u679c\u767c\u73fe\uff0c\u5169\u6b3eAI\u751f\u6210\u7684\u6587\u7ae0\u7d50\u69cb\u548c\u5167\u5bb9\u985e\u4f3c\uff0c\u7686\u662f\u4ee5\u5217\u9ede\u65b9\u5f0f\u8a0e\u8ad6\u6b64\u4e3b\u984c\u7684\u4e0d\u540c\u9762\u5411\uff0c\u5305\u62ec\u6559\u80b2\u3001\u5de5\u4f5c\u548c\u74b0\u5883\u9818\u57df\u7684\u8a0e\u8ad6\u7b49\u3002<\/p>\n\n\n

\n
\"\u5be6\u6e2cClaude<\/figure>\n<\/div>\n\n\n

\u5be6\u6e2cClaude 3.5\u751f\u6210\u6587\u7ae0\u3002\u622a\u53d6\u81eaClaude<\/p>\n\n\n\n

\u5728\u9019\u88e1\u53ef\u4ee5\u770b\u5230ChatGPT\u751f\u6210\u7684\u5168\u6587\u3002<\/p>\n\n\n

\n
\"\u5be6\u6e2cGPT-4o\u751f\u6210\u6587\u7ae0\u3002\u622a\u53d6\u81eaChatGPT\"\/<\/figure>\n<\/div>\n\n\n

\u5be6\u6e2cGPT-4o\u751f\u6210\u6587\u7ae0\u3002\u622a\u53d6\u81eaChatGPT<\/p>\n\n\n\n

Claude 3.5 vs. GPT-4o \u5be6\u6e2c3\uff1a\u64d4\u4efb\u71df\u990a\u5e2b<\/h2>\n\n\n\n

AI\u4e5f\u53ef\u4ee5\u6210\u70ba\u500b\u4eba\u5c08\u5c6c\u7684\u71df\u990a\u5e2b\uff01\u4e0a\u50b3\u4e00\u5f35\u5348\u9910\u7684\u7167\u7247\uff0c\u8981\u6c42\u5169\u6b3eAI\u8fa8\u8b58\u5716\u4e2d\u7684\u98df\u7269\uff0c\u5206\u6790\u5404\u985e\u71df\u990a\u651d\u53d6\u662f\u5426\u8db3\u5920\uff0c\u4e26\u63d0\u4f9b\u4e00\u4e9b\u98f2\u98df\u5efa\u8b70\u3002\u7d50\u679c\u767c\u73fe\uff0c\u5169\u6b3eAI\u7686\u80fd\u5927\u81f4\u6b63\u78ba\u8fa8\u8b58\u51fa\u7167\u7247\u4e2d\u7684\u98df\u7269\u7a2e\u985e\uff0c\u63d0\u4f9b\u7684\u5efa\u8b70\u4e5f\u5408\u7406\u5b8c\u6574\u3002<\/p>\n\n\n

\n
\"\u5be6\u6e2cClaude<\/figure>\n<\/div>\n\n\n

\u5be6\u6e2cClaude 3.5\u626e\u6f14\u71df\u990a\u5e2b\uff0c\u63d0\u4f9b\u98f2\u98df\u5efa\u8b70\u3002\u622a\u53d6\u81eaClaude<\/p>\n\n\n

\n
\"\u5be6\u6e2cGPT-4o\u626e\u6f14\u71df\u990a\u5e2b\uff0c\u63d0\u4f9b\u98f2\u98df\u5efa\u8b70\u3002\u622a\u53d6\u81eaChatGPT\"\/<\/figure>\n<\/div>\n\n\n

\u5be6\u6e2cGPT-4o\u626e\u6f14\u71df\u990a\u5e2b\uff0c\u63d0\u4f9b\u98f2\u98df\u5efa\u8b70\u3002\u622a\u53d6\u81eaChatGPT<\/p>\n\n\n\n

Claude 3.5 vs. GPT-4o \u5be6\u6e2c4\uff1a\u7528Python\u505a\u5c0f\u904a\u6232<\/h2>\n\n\n\n

\u70ba\u6e2c\u8a66AI\u64b0\u5beb\u7a0b\u5f0f\u78bc\u7684\u80fd\u529b\uff0c\u8981\u6c42\u5169\u6b3eAI\u7528Python\u88fd\u4f5c\u7c21\u55ae\u7684\u6a6b\u5411\u6372\u8ef8\u904a\u6232\uff0c\u898f\u5247\u5305\u62ec\u8df3\u904e\u969c\u7919\u7269\u548c\u5403\u6389\u5bf6\u7269\u3002\u5c07\u5169\u8005\u751f\u6210\u7684\u7a0b\u5f0f\u78bc\u8907\u88fd\u9032Visual Studio Code\u4e4b\u5f8c\uff0c\u7686\u80fd\u9806\u5229\u57f7\u884c\uff0c\u4e0d\u904eClaude\u9084\u591a\u4e86\u8a08\u5206\u7248\u7684\u8a2d\u8a08\u3002<\/p>\n\n\n

\n
\"\u5be6\u6e2cClaude<\/figure>\n<\/div>\n\n\n

\u5be6\u6e2cClaude 3.5\u88fd\u4f5cpython\u5c0f\u904a\u6232\u3002\u622a\u53d6\u81eaClaude<\/p>\n\n\n\n

\u5728\u9019\u88e1\u53ef\u4ee5\u770b\u5230ChatGPT\u751f\u6210\u7684\u5b8c\u6574\u7a0b\u5f0f\u78bc\u3002<\/p>\n\n\n

\n
\"\u5be6\u6e2cGPT-4o\u88fd\u4f5cpython\u5c0f\u904a\u6232\u3002\u622a\u53d6\u81eaChatGPT\"\/<\/figure>\n<\/div>\n\n\n

\u5be6\u6e2cGPT-4o\u88fd\u4f5cpython\u5c0f\u904a\u6232\u3002\u622a\u53d6\u81eaChatGPT<\/p>\n\n\n\n

Claude 3.5 vs. GPT-4o \u5be6\u6e2c5\uff1a\u7ffb\u8b6f\u53f0\u8a9e <\/h2>\n\n\n\n

\u82f1\u6587\u7ffb\u8b6f\u53ef\u8aaa\u662fAI\u7684\u5f37\u9805\uff0c\u4f46\u5982\u679c\u662f\u8acbAI\u7ffb\u8b6f\u53f0\u8a9e\u5462\uff1f\u8a18\u8005\u8f38\u5165\u4e86\u912d\u5b9c\u8fb2\u7684\u53f0\u8a9e\u6b4c\u66f2\u3008\u65b0\u4e16\u7d00\u7684\u5973\u5152\u3009\u4e2d\u7684\u4e00\u6bb5\u6b4c\u8a5e\uff0c\u4e26\u8acb\u5169\u6b3eAI\u7ffb\u8b6f\u6210\u83ef\u6587\u3002\u7d50\u679c\u767c\u73fe\uff0c\u5169\u8005\u90fd\u80fd\u7406\u89e3\u53f0\u8a9e\u6b4c\u8a5e\u7684\u542b\u7fa9\uff0c\u4e0d\u904eClaude\u7684\u7ffb\u8b6f\u6709\u7d93\u904e\u6539\u5beb\u3001ChatGPT\u5247\u662f\u9010\u5b57\u7ffb\u8b6f\u3002<\/p>\n\n\n

\n
\"\u5be6\u6e2cClaude<\/figure>\n<\/div>\n\n\n

\u5be6\u6e2cClaude 3.5\u7ffb\u8b6f\u53f0\u8a9e\u6b4c\u8a5e\u3002\u622a\u53d6\u81eaClaude<\/p>\n\n\n

\n
\"\u5be6\u6e2cGPT-4o\u7ffb\u8b6f\u53f0\u8a9e\u6b4c\u8a5e\u3002\u622a\u53d6\u81eaChatGPT\"\/<\/figure>\n<\/div>\n\n\n

\u5be6\u6e2cGPT-4o\u7ffb\u8b6f\u53f0\u8a9e\u6b4c\u8a5e\u3002\u622a\u53d6\u81eaChatGPT<\/p>\n\n\n\n

Claude 3.5 vs. GPT-4o \u6700\u7d42\u6bd4\u8f03\uff1a\u5169\u8005\u512a\u7f3a\u9ede\u5404\u5728\u54ea\uff1f<\/h2>\n\n\n\n

\u4ee5\u4e0b\u8868\u683c\u70ba\u672c\u6b21\u5be6\u6e2c\u4e94\u9805\u529f\u80fd\u4e2d\uff0cClaude 3.5 \u548c GPT-4o \u7684\u512a\u7f3a\u9ede\u6bd4\u8f03\u3002\u8acb\u6ce8\u610f\uff0c\u6b64\u8868\u683c\u50c5\u70ba\u672c\u6b21\u5be6\u6e2c\u7d50\u679c\u5206\u6790\uff0c\u5be6\u969b\u8868\u73fe\u53ef\u80fd\u56e0\u6307\u4ee4\u5dee\u7570\u6216\u6a21\u578b\u66f4\u65b0\u800c\u6709\u6240\u4e0d\u540c\u3002<\/p>\n\n\n\n

<\/td>Claude 3.5<\/td>GPT-4<\/td><\/tr>
\u767c\u60f3\u5275\u610f\u6599\u7406<\/td>\u80fd\u7b26\u5408\u8981\u6c42\uff0c\u83dc\u8272\u8f03\u6709\u5275\u610f \u3010\u52dd\u3011<\/td>\u80fd\u7b26\u5408\u8981\u6c42<\/td><\/tr>
\u751f\u6210\u6587\u7ae0<\/td>\u6587\u7ae0\u5207\u5408\u4e3b\u984c\u3001\u7d50\u69cb\u5b8c\u6574\uff08\u5e73\u624b\uff09<\/td><\/tr>
\u64d4\u4efb\u71df\u990a\u5e2b<\/td>\u80fd\u5927\u81f4\u6b63\u78ba\u8fa8\u8b58\u98df\u7269\u3001\u5efa\u8b70\u5408\u7406\uff08\u5e73\u624b\uff09<\/td><\/tr>
\u7528python\u505a\u5c0f\u904a\u6232<\/td>\u80fd\u9806\u5229\u751f\u6210\u53ef\u57f7\u884c\u904a\u6232\u7684\u7a0b\u5f0f\u78bc\uff0c\u8f03\u70ba\u5b8c\u6574\u3010\u52dd\u3011<\/td>\u80fd\u9806\u5229\u751f\u6210\u53ef\u57f7\u884c\u904a\u6232\u7684\u7a0b\u5f0f\u78bc<\/td><\/tr>
\u7ffb\u8b6f\u53f0\u8a9e<\/td>\u6b63\u78ba\u5927\u610f\u7ffb\u8b6f\uff08\u5e73\u624b\uff09<\/td>\u6b63\u78ba\u9010\u5b57\u7ffb\u8b6f\uff08\u5e73\u624b\uff09<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

\u8cc7\u6599\u4f86\u6e90:https:\/\/www.gvm.com.tw\/article\/113757<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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