{"id":412,"date":"2026-06-19T20:15:52","date_gmt":"2026-06-19T12:15:52","guid":{"rendered":"https:\/\/www.eshowai.com\/index.php\/2026\/06\/19\/%e6%99%ba%e8%b0%b1%e6%b8%85%e8%a8%80-glm-4-%e5%ae%9e%e6%b5%8b%ef%bc%9a%e5%ad%a6%e6%9c%af%e5%85%9a%e7%9a%84-gpt-%e6%9b%bf%e4%bb%a3%e5%93%81\/"},"modified":"2026-07-09T16:43:53","modified_gmt":"2026-07-09T08:43:53","slug":"%e6%99%ba%e8%b0%b1%e6%b8%85%e8%a8%80-glm-4-%e5%ae%9e%e6%b5%8b%ef%bc%9a%e5%ad%a6%e6%9c%af%e5%85%9a%e7%9a%84-gpt-%e6%9b%bf%e4%bb%a3%e5%93%81","status":"publish","type":"post","link":"https:\/\/www.eshowai.com\/index.php\/2026\/06\/19\/%e6%99%ba%e8%b0%b1%e6%b8%85%e8%a8%80-glm-4-%e5%ae%9e%e6%b5%8b%ef%bc%9a%e5%ad%a6%e6%9c%af%e5%85%9a%e7%9a%84-gpt-%e6%9b%bf%e4%bb%a3%e5%93%81\/","title":{"rendered":"\u667a\u8c31\u6e05\u8a00 GLM-4 \u5b9e\u6d4b\uff1a\u5b66\u672f\u515a\u7684 GPT \u66ff\u4ee3\u54c1"},"content":{"rendered":"
\"zhipu-glm4-cover.png\"
\u667a\u8c31\u6e05\u8a00 GLM-4 \u5b9e\u6d4b\u5c01\u9762<\/figcaption><\/figure>\n

\u667a\u8c31\u6e05\u8a00 GLM-4 \u5b9e\u6d4b\uff1a\u5b66\u672f\u515a\u7684 GPT \u66ff\u4ee3\u54c1<\/h1>\n
\n

\u5206\u7c7b\uff1aAI \u5de5\u5177 (ai-tools) | \u6807\u7b7e\uff1a\u667a\u8c31\u6e05\u8a00\u3001GLM-4\u3001\u5b66\u672fAI\u3001\u8bba\u6587\u5199\u4f5c<\/p>\n<\/blockquote>\n

\u667a\u8c31\u6e05\u8a00\u662f\u6e05\u534e\u7cfb AI \u516c\u53f8\u667a\u8c31 AI \u51fa\u7684\u5bf9\u8bdd\u4ea7\u54c1,\u57fa\u4e8e\u5f00\u6e90\u7684 GLM-4 \u6a21\u578b\u3002<\/p>\n

\u5728\u56fd\u4ea7 AI \u91cc\u5b83\u4e0d\u7b97\u6700\u70ed(\u6d41\u91cf\u4e0d\u5982\u8c46\u5305\u3001Kimi),\u4f46\u5728\u5b66\u672f\u5708<\/strong>\u53e3\u7891\u5f88\u597d\u2014\u2014\u5f88\u591a\u7814\u7a76\u751f\u3001\u535a\u58eb\u3001\u79d1\u7814\u5de5\u4f5c\u8005\u7684”GPT \u66ff\u4ee3\u54c1”<\/strong>\u3002<\/p>\n

\u6211\u7528\u4e86 30 \u5929,\u8dd1\u4e86\u6587\u732e\u7efc\u8ff0\u3001\u8bba\u6587\u7ffb\u8bd1\u3001\u7b54\u8fa9\u7a3f\u751f\u6210\u7b49\u771f\u5b9e\u5b66\u672f\u4efb\u52a1,\u544a\u8bc9\u4f60:<\/p>\n

    \n
  • \u5b83\u5728\u5b66\u672f\u4e0a\u5230\u5e95\u5f3a\u4e0d\u5f3a<\/li>\n
  • \u8ddf GPT-4 \u5dee\u8ddd\u591a\u5927<\/li>\n
  • \u4ec0\u4e48\u573a\u666f\u7528\u5b83\u6700\u503c<\/li>\n<\/ul>\n

    \u667a\u8c31\u6e05\u8a00\u7684\u5b66\u672f\u57fa\u56e0<\/h2>\n

    \u667a\u8c31 AI \u51fa\u8eab\u6e05\u534e,\u6838\u5fc3\u56e2\u961f\u6765\u81ea\u6e05\u534e\u8ba1\u7b97\u673a\u7cfb KEAG \u5b9e\u9a8c\u5ba4\u3002<\/p>\n

      \n
    • GLM \u7cfb\u5217\u6a21\u578b<\/strong> \u957f\u671f\u662f\u56fd\u5185\u5f00\u6e90\u6807\u6746<\/li>\n
    • 2024 \u5e74 GLM-4<\/strong> \u8d77,\u6027\u80fd\u5bf9\u6807 GPT-4<\/li>\n
    • \u5728 C-Eval\u3001CMMLU\u3001GSM8K<\/strong> \u7b49\u4e2d\u6587\u5b66\u672f\u8bc4\u6d4b\u91cc,\u957f\u671f\u9738\u699c<\/li>\n<\/ul>\n

      \u5b66\u672f\u5708\u7528\u667a\u8c31,\u7b49\u4e8e\u7ad9\u5728”\u56fd\u4ea7\u4e4b\u5149”\u7684\u80a9\u8180\u4e0a\u3002<\/strong><\/p>\n

      30 \u5929,\u6211\u62ff\u5b83\u505a\u7684 8 \u4ef6\u5b66\u672f\u4e8b<\/h2>\n

      1. \u6587\u732e\u7efc\u8ff0\u6846\u67b6\u751f\u6210<\/h3>\n

      \u4efb\u52a1:<\/strong> “\u6211\u8981\u7814\u7a76 AIGC \u5728\u6559\u80b2\u9886\u57df\u7684\u5e94\u7528,\u5e2e\u6211\u5217\u51fa\u6587\u732e\u7efc\u8ff0\u7684 5 \u4e2a\u5b50\u65b9\u5411,\u6bcf\u4e2a\u65b9\u5411\u7ed9 3 \u4e2a\u7814\u7a76\u95ee\u9898\u3002”<\/p>\n

      \u7ed3\u679c:<\/strong> \u2b50\u2b50\u2b50\u2b50\u2b50<\/p>\n

        \n
      • 5 \u4e2a\u5b50\u65b9\u5411\u8986\u76d6\u5ea6\u5f88\u5168(\u6280\u672f\u3001\u5e94\u7528\u3001\u4f26\u7406\u3001\u6548\u679c\u3001\u8d8b\u52bf)<\/li>\n
      • \u6bcf\u4e2a\u65b9\u5411\u7684\u7814\u7a76\u95ee\u9898\u90fd\u5f88”\u5b66\u672f”,\u4e0d\u662f\u5916\u884c\u80fd\u95ee\u51fa\u6765\u7684<\/li>\n
      • \u8fd8\u9644\u4e86\u63a8\u8350\u68c0\u7d22\u5173\u952e\u8bcd<\/li>\n<\/ul>\n

        \u5bf9\u6bd4:<\/strong> Kimi \u7ed9\u7684\u6846\u67b6\u592a\u6d45,\u8c46\u5305\u7ed9\u7684\u592a”\u81ea\u5a92\u4f53”\u3002\u667a\u8c31\u6700”\u5b66\u672f”\u3002<\/strong><\/p>\n

        2. \u82f1\u6587\u8bba\u6587\u7ffb\u8bd1\u6210\u4e2d\u6587(\u5b66\u672f\u8154)<\/h3>\n

        \u4efb\u52a1:<\/strong> \u7ffb\u8bd1\u4e00\u6bb5 NLP \u9886\u57df\u9876\u4f1a\u8bba\u6587\u6458\u8981(\u82f1\u6587),\u8981\u6c42”\u4e13\u4e1a\u3001\u4fdd\u7559\u672f\u8bed\u3001\u5730\u9053”\u3002<\/p>\n

        \u7ed3\u679c:<\/strong> \u2b50\u2b50\u2b50\u2b50<\/p>\n

          \n
        • \u7ffb\u8bd1\u51c6\u786e,\u672f\u8bed\u89c4\u8303<\/li>\n
        • \u6bd4 Google \u7ffb\u8bd1\u3001DeepL \u5b66\u672f\u8154\u66f4\u6d53<\/li>\n
        • \u6bd4 Kimi \u76f4\u8bd1\u66f4\u987a<\/li>\n<\/ul>\n

          \u69fd\u70b9:<\/strong> \u5076\u5c14\u4f1a\u5728\u6570\u5b66\u516c\u5f0f\u3001\u7279\u6b8a\u7b26\u53f7\u4e0a\u51fa\u9519,\u9700\u8981\u4eba\u5de5\u6838\u5bf9\u3002<\/p>\n

          3. \u8bba\u6587\u6da6\u8272(\u4e2d\u8bd1\u82f1)<\/h3>\n

          \u4efb\u52a1:<\/strong> “\u6211\u5199\u4e86\u4e00\u6bb5\u8bba\u6587\u65b9\u6cd5\u90e8\u5206,\u82f1\u6587\u4e0d\u591f\u5730\u9053,\u5e2e\u6211\u6da6\u8272\u6210 native speaker \u98ce\u683c,\u4fdd\u7559\u539f\u610f\u3002”<\/p>\n

          \u7ed3\u679c:<\/strong> \u2b50\u2b50\u2b50\u2b50\u2b50<\/p>\n

            \n
          • \u51fa\u6765\u7684\u7248\u672c\u6bd4\u6211\u81ea\u5df1\u5199\u7684\u597d 3 \u500d<\/li>\n
          • \u7528\u8bcd\u7cbe\u51c6,\u7b26\u5408 ACL\/EMNLP \u6295\u7a3f\u98ce\u683c<\/li>\n
          • \u6bd4 GPT-4 \u4fbf\u5b9c(\u514d\u8d39\u7248\u591f\u7528),\u6bd4 Grammarly \u5b66\u672f\u8154\u66f4\u6d53<\/li>\n<\/ul>\n

            \u5f3a\u70c8\u63a8\u8350\u8fd9\u4e2a\u573a\u666f\u3002<\/strong><\/p>\n

            4. \u7b54\u8fa9\u7a3f\u751f\u6210<\/h3>\n

            \u4efb\u52a1:<\/strong> “\u6211\u7684\u8bba\u6587\u9898\u76ee\u662f\u300a\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u4e2d\u6587\u60c5\u611f\u5206\u6790\u7814\u7a76\u300b,\u7b54\u8fa9 15 \u5206\u949f,\u5e2e\u6211\u5199\u7b54\u8fa9\u7a3f,\u5305\u62ec\u5f00\u573a\u3001\u7814\u7a76\u80cc\u666f\u3001\u65b9\u6cd5\u3001\u7ed3\u679c\u3001\u603b\u7ed3\u3001\u81f4\u8c22\u3002”<\/p>\n

            \u7ed3\u679c:<\/strong> \u2b50\u2b50\u2b50\u2b50<\/p>\n

              \n
            • \u7ed3\u6784\u5b8c\u6574,7 \u4e2a\u90e8\u5206\u9f50\u5168<\/li>\n
            • \u5173\u952e\u70b9(\u521b\u65b0\u70b9\u3001\u4e0d\u8db3\u4e4b\u5904)\u90fd\u70b9\u5230<\/li>\n
            • \u7b54\u8fa9\u59d4\u5458\u5e38\u95ee\u7684\u95ee\u9898\u4e5f\u7ed9\u9884\u6d4b\u4e86 10 \u4e2a<\/li>\n<\/ul>\n

              \u69fd\u70b9:<\/strong> \u5185\u5bb9”\u6a21\u677f\u5316”\u8f83\u91cd,\u9700\u8981\u7ed3\u5408\u81ea\u5df1\u7814\u7a76\u7684\u7279\u8272\u6539\u4e00\u6539\u3002<\/p>\n

              5. \u7814\u7a76\u95ee\u9898 brainstorm<\/h3>\n

              \u4efb\u52a1:<\/strong> “\u6211\u60f3\u7814\u7a76\u5927\u6a21\u578b\u63a8\u7406\u80fd\u529b\u7684\u63d0\u5347\u8def\u5f84,\u7ed9\u6211 10 \u4e2a\u6709\u4ef7\u503c\u7684\u7814\u7a76\u95ee\u9898,\u8981\u6c42\u6709\u521b\u65b0\u6027\u3001\u6709\u53ef\u884c\u6027\u3002”<\/p>\n

              \u7ed3\u679c:<\/strong> \u2b50\u2b50\u2b50\u2b50\u2b50<\/p>\n

                \n
              • 10 \u4e2a\u95ee\u9898\u91cc 6-7 \u4e2a\u6709\u771f\u4e1c\u897f<\/li>\n
              • 2 \u4e2a\u8ddf\u5f53\u4e0b SOTA \u9ad8\u5ea6\u76f8\u5173<\/li>\n
              • \u8fd8\u6807\u4e86”\u96be\u5ea6”\u548c”\u9884\u671f\u8d21\u732e”<\/li>\n<\/ul>\n

                \u5b66\u672f\u5f00\u9898\u7528\u5b83,\u771f\u80fd\u7701\u4e00\u4e24\u5468\u3002<\/strong><\/p>\n

                6. \u516c\u5f0f \/ \u56fe\u8868\u89e3\u8bfb<\/h3>\n

                \u4efb\u52a1:<\/strong> “\u89e3\u91ca\u4e00\u4e0b Transformer \u7684 self-attention \u516c\u5f0f,\u7528\u901a\u4fd7\u8bed\u8a00 + \u4e00\u4e2a\u5177\u4f53\u4f8b\u5b50\u3002”<\/p>\n

                \u7ed3\u679c:<\/strong> \u2b50\u2b50\u2b50\u2b50<\/p>\n

                  \n
                • \u89e3\u91ca\u5230\u4f4d,\u6709\u6570\u5b66\u3001\u6709\u76f4\u89c9<\/li>\n
                • \u7ed9\u7684\u4f8b\u5b50\u4e0d\u9519<\/li>\n
                • \u4e0d\u5982 GPT-4 \u6df1\u5165,\u4f46\u6bd4 Kimi \u5f3a<\/li>\n<\/ul>\n

                  7. \u5199\u4ee3\u7801(\u5b66\u672f\u573a\u666f)<\/h3>\n

                  \u4efb\u52a1:<\/strong> \u5199\u4e00\u4e2a PyTorch \u7684 Transformer Encoder\u3002<\/p>\n

                  \u7ed3\u679c:<\/strong> \u2b50\u2b50\u2b50\u2b50<\/p>\n

                    \n
                  • \u4ee3\u7801\u89c4\u8303,\u53ef\u76f4\u63a5\u8dd1<\/li>\n
                  • \u6ce8\u91ca\u6e05\u695a<\/li>\n
                  • \u6bd4 DeepSeek \u7565\u5f31(DeepSeek \u63a8\u7406\u66f4\u5f3a),\u4f46\u6bd4\u8c46\u5305\u3001Kimi \u5f3a<\/li>\n<\/ul>\n

                    8. \u5b66\u672f\u90ae\u4ef6\u6a21\u677f<\/h3>\n

                    \u4efb\u52a1:<\/strong> “\u6211\u8981\u7ed9\u4e00\u4f4d\u56fd\u5916\u6559\u6388\u5199\u4e00\u5c01\u5957\u74f7\u90ae\u4ef6,\u7533\u8bf7 PhD \u673a\u4f1a,\u8bed\u6c14\u8981\u793c\u8c8c\u4f46\u4e0d\u8c04\u5a9a\u3002”<\/p>\n

                    \u7ed3\u679c:<\/strong> \u2b50\u2b50\u2b50\u2b50<\/p>\n

                      \n
                    • \u6a21\u677f\u89c4\u8303,\u7b26\u5408\u5b66\u672f\u5708\u4e60\u60ef<\/li>\n
                    • \u7ed9\u4e86 3 \u4e2a\u7248\u672c(\u5f3a\u70ed\u60c5 \/ \u5f31\u70ed\u60c5 \/ \u7b80\u6d01)<\/li>\n
                    • \u8fd8\u9644\u4e86”\u5982\u4f55\u8ddf\u8fdb”\u7684\u5efa\u8bae<\/li>\n<\/ul>\n

                      \u8d85\u7ea7\u5b9e\u7528\u3002<\/strong><\/p>\n

                      \u8ddf GPT-4 \u7684\u5dee\u8ddd<\/h2>\n

                      | \u7ef4\u5ea6 | \u667a\u8c31\u6e05\u8a00 GLM-4 | GPT-4 |<\/p>\n

                      |—|—|—|<\/p>\n

                      | \u4e2d\u6587\u7406\u89e3 | \u2b50\u2b50\u2b50\u2b50\u2b50(\u540a\u6253) | \u2b50\u2b50\u2b50\u2b50 |<\/p>\n

                      | \u82f1\u6587\u5199\u4f5c | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50\u2b50 |<\/p>\n

                      | \u63a8\u7406\u6df1\u5ea6 | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50\u2b50 |<\/p>\n

                      | \u5b66\u672f\u8154 | \u2b50\u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50 |<\/p>\n

                      | \u516c\u5f0f \/ \u7b26\u53f7 | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50\u2b50 |<\/p>\n

                      | \u957f\u6587\u8fde\u8d2f | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50\u2b50 |<\/p>\n

                      | \u4ef7\u683c<\/strong> | \u57fa\u7840\u514d\u8d39<\/strong> | 20 USD\/\u6708 |<\/p>\n

                      \u7ed3\u8bba:<\/strong> \u4e2d\u6587\u573a\u666f\u667a\u8c31\u6e05\u8a00\u540a\u6253 GPT-4;\u590d\u6742\u63a8\u7406 GPT-4 \u8fd8\u662f\u7565\u80dc\u4e00\u7b79\u3002\u5b66\u672f\u5199\u4f5c,\u667a\u8c31\u6e05\u8a00\u591f\u7528,\u4f55\u5fc5\u82b1\u94b1?<\/strong><\/p>\n

                      \u4ef7\u683c(2026 \u5e74 6 \u6708)<\/h2>\n

                      | \u5957\u9910 | \u4ef7\u683c | \u9002\u5408 |<\/p>\n

                      |—|—|—|<\/p>\n

                      | \u514d\u8d39\u7248<\/strong> | 0 | \u5b66\u751f \/ \u65e5\u5e38\u7528 |<\/p>\n

                      | GLM-4 \u9ad8\u7ea7\u7248<\/strong> | \u00a539\/\u6708 | \u7814\u7a76\u751f \/ \u5199\u4f5c\u8005 |<\/p>\n

                      | API \u63a5\u5165<\/strong> | \u6309 token \u8ba1\u8d39 | \u5f00\u53d1\u8005 \/ \u5b9e\u9a8c\u5ba4 |<\/p>\n

                      \u5bf9\u6bd4 GPT-4 \u7684 20 USD\/\u6708(\u7ea6 145 \u5143),\u667a\u8c31\u4fbf\u5b9c 70% \u4ee5\u4e0a\u3002<\/strong><\/p>\n

                      \u6211\u7684\u6700\u7ec8\u5efa\u8bae<\/h2>\n

                      \u5b66\u672f\u5708\u7528\u6237\u95ed\u773c\u5165\u3002<\/strong><\/p>\n

                      \u5177\u4f53\u573a\u666f\u63a8\u8350:<\/p>\n

                        \n
                      • \ud83d\udcda \u6587\u732e\u7efc\u8ff0 \/ \u5f00\u9898<\/strong> \u2192 \u667a\u8c31\u6e05\u8a00 \u2b50\u2b50\u2b50\u2b50\u2b50<\/li>\n
                      • \u270d\ufe0f \u8bba\u6587\u6da6\u8272(\u4e2d\u8bd1\u82f1)<\/strong> \u2192 \u667a\u8c31\u6e05\u8a00 \u2b50\u2b50\u2b50\u2b50\u2b50<\/li>\n
                      • \ud83d\udcd6 \u7b54\u8fa9\u7a3f \/ \u5957\u74f7\u4fe1<\/strong> \u2192 \u667a\u8c31\u6e05\u8a00 \u2b50\u2b50\u2b50\u2b50\u2b50<\/li>\n
                      • \ud83e\uddee \u516c\u5f0f\u89e3\u8bfb \/ \u5b66\u672f\u95ee\u7b54<\/strong> \u2192 \u667a\u8c31\u6e05\u8a00 \/ DeepSeek<\/li>\n
                      • \ud83d\udcbb \u5b66\u672f\u4ee3\u7801<\/strong> \u2192 DeepSeek > \u667a\u8c31\u6e05\u8a00<\/li>\n
                      • \ud83e\udde0 \u6df1\u5ea6\u63a8\u7406 \/ \u521b\u65b0\u60f3\u6cd5<\/strong> \u2192 GPT-4 \/ Claude > \u667a\u8c31<\/li>\n<\/ul>\n

                        \u7701\u94b1\u5efa\u8bae:<\/strong> \u5b66\u672f\u65e5\u5e38\u7528\u667a\u8c31\u6e05\u8a00(\u514d\u8d39\u7248\u591f\u7528),\u590d\u6742\u4efb\u52a1\u518d\u4e0a GPT-4 \u6216 Claude\u3002<\/p>\n

                        \u5de5\u5177\u7248\u672c\u3001\u5b9a\u4ef7\u66f4\u65b0\u4e8e 2026 \u5e74 6 \u6708\u3002<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

                        \u667a\u8c31\u6e05\u8a00 GLM-4 \u5b9e\u6d4b\u5c01\u9762 \u667a\u8c31\u6e05\u8a00 GLM-4 \u5b9e\u6d4b\uff1a\u5b66\u672f\u515a\u7684 GPT \u66ff\u4ee3\u54c1 \u5206\u7c7b\uff1aAI \u5de5\u5177 (ai […]<\/p>\n","protected":false},"author":2,"featured_media":1043,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[42],"tags":[100],"class_list":["post-412","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-tools","tag-ai"],"jetpack_featured_media_url":"https:\/\/www.eshowai.com\/wp-content\/uploads\/2026\/07\/zhipu-glm4-cover-6.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/412","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/comments?post=412"}],"version-history":[{"count":12,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/412\/revisions"}],"predecessor-version":[{"id":1072,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/posts\/412\/revisions\/1072"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/media\/1043"}],"wp:attachment":[{"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/media?parent=412"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/categories?post=412"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eshowai.com\/index.php\/wp-json\/wp\/v2\/tags?post=412"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}