{"id":1275,"date":"2025-12-24T09:49:36","date_gmt":"2025-12-24T01:49:36","guid":{"rendered":"https:\/\/blog.diffmind.ai\/?p=1275"},"modified":"2025-12-24T09:55:19","modified_gmt":"2025-12-24T01:55:19","slug":"%e7%ae%80%e5%8e%86%e8%b6%8a%e6%94%b9%e8%b6%8a%e5%83%8f%e6%a8%a1%e6%9d%bf%ef%bc%9f%e7%94%a8-diffmind-%e5%a4%9a%e6%a8%a1%e5%9e%8b%e5%90%8c%e5%b1%8f%e6%b6%a6%e8%89%b2%e6%8c%91%e5%88%ba","status":"publish","type":"post","link":"https:\/\/blog.diffmind.ai\/zh_cn\/archives\/1275","title":{"rendered":"\u7b80\u5386\u8d8a\u6539\u8d8a\u50cf\u6a21\u677f\uff1f\u7528 DiffMind \u591a\u6a21\u578b\u540c\u5c4f\u201c\u6da6\u8272+\u6311\u523a\u201d\uff0c\u628a\u4e00\u4efd\u7b80\u5386\u6539\u5230\u80fd\u6295"},"content":{"rendered":"\n

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

\u4f60\u662f\u5426\u7ecf\u5386\u8fc7\u8fd9\u6837\u7684\u591c\u665a\uff1a\u660e\u5929\u5c31\u8981\u6295\u9012\u5fc3\u4eea\u7684\u5927\u5382\u5c97\u4f4d\uff0c\u4eca\u665a\u8fd8\u5728\u5bf9\u7740\u7b80\u5386\u53d1\u6101\u3002 \u867d\u7136\u8bed\u8a00\u901a\u987a\u4e86\uff0c\u4f46\u603b\u89c9\u5f97\u5185\u5bb9\u201c\u53d1\u98d8\u201d\uff1b \u6539\u6765\u6539\u53bb\uff0c\u6ee1\u5c4f\u90fd\u662f\u201c\u8d1f\u8d23\u201d\u3001\u201c\u53c2\u4e0e\u201d\u3001\u201c\u534f\u52a9\u201d\uff0c\u50cf\u6781\u4e86\u7f51\u4e0a\u7684\u901a\u7528\u6a21\u677f\uff1b \u6700\u62c5\u5fc3\u7684\u662f\uff0c\u4e3a\u4e86\u8fc7 ATS optimization<\/strong>\uff08\u62db\u8058\u7cfb\u7edf\u7b5b\u9009\uff09\u585e\u8fdb\u53bb\u7684\u5173\u952e\u8bcd\uff0c\u81ea\u5df1\u90fd\u89c9\u5f97\u865a\uff0c\u751f\u6015\u9762\u8bd5\u5b98\u8ffd\u95ee\u4e00\u53e5\uff1a\u201c\u5177\u4f53\u6570\u636e\u662f\u600e\u4e48\u6765\u7684\uff1f\u201d\uff0c\u5f53\u573a\u54d1\u53e3\u65e0\u8a00\u3002<\/p>\n\n\n\n

\u4e3a\u4ec0\u4e48\u4f60\u7684\u7b80\u5386\u201c\u8d8a\u6539\u8d8a\u5e9f\u201d\uff1f<\/h2>\n\n\n\n

\u5728\u4f7f\u7528\u5e38\u89c4\u5de5\u5177\u6216\u81ea\u884c\u4fee\u6539\u65f6\uff0c\u6211\u4eec\u5f88\u5bb9\u6613\u9677\u5165\u4ee5\u4e0b 5 \u4e2a\u8bef\u533a\uff1a<\/p>\n\n\n\n

    \n
  1. \u53ea\u505a\u8bed\u6cd5\u6da6\u8272\uff0c\u4e0d\u505a\u7ed3\u6784\u91cd\u5851\uff1a<\/strong> \u53ea\u662f\u628a\u201c\u505a\u4e86\u9500\u552e\u201d\u6539\u6210\u201c\u4ece\u4e8b\u9500\u552e\u5de5\u4f5c\u201d\uff0c\u6ca1\u6709\u63d0\u5347\u8bf4\u670d\u529b\u3002<\/li>\n\n\n\n
  2. Bullet \u53d8\u957f\u4f46\u66f4\u7a7a\uff1a<\/strong> \u5199\u4e86\u4e09\u884c\u5b57\uff0c\u5168\u662f\u5f62\u5bb9\u8bcd\uff0c\u6ca1\u6709\u7ed3\u679c\uff08Result\uff09\u3001\u6ca1\u6709\u6307\u6807\uff08Metric\uff09\u3001\u6ca1\u6709\u653b\u514b\u7684\u96be\u70b9\uff08Challenge\uff09\u3002<\/li>\n\n\n\n
  3. \u5173\u952e\u8bcd\u4e0e\u5c97\u4f4d\u9519\u4f4d\uff1a<\/strong> \u4f60\u7684\u804c\u8d23\u5199\u5f97\u5f88\u8f9b\u82e6\uff0c\u4f46 JD\uff08\u804c\u4f4d\u63cf\u8ff0\uff09\u91cc\u8981\u6c42\u7684\u6838\u5fc3\u80fd\u529b\uff0c\u4f60\u4e00\u4e2a\u8bcd\u90fd\u6ca1\u8e29\u4e2d\u3002<\/li>\n\n\n\n
  4. \u81ea\u6211\u4ecb\u7ecd\u201c\u81ea\u55e8\u201d\u6216\u201c\u8fc7\u8c26\u201d\uff1a<\/strong> Interview introduction<\/strong> \u7f3a\u4e4f\u4e3b\u7ebf\uff0c\u8981\u4e48\u50cf\u6d41\u6c34\u8d26\uff0c\u8981\u4e48\u50cf\u8fc7\u5ea6\u627f\u8bfa\u7684\u5e7f\u544a\u3002<\/li>\n\n\n\n
  5. AI \u8fc7\u5ea6\u5305\u88c5\u7684\u9677\u9631\uff1a<\/strong> AI \u5bb9\u6613\u4ea7\u751f\u5e7b\u89c9\uff0c\u628a\u201c\u53c2\u4e0e\u9879\u76ee\u201d\u5199\u6210\u201c\u4e3b\u5bfc\u9879\u76ee\u201d\u3002\u8fd9\u79cd\u770b\u4f3c\u9ad8\u7ea7\u7684\u8868\u8fbe\uff0c\u9762\u8bd5\u4e00\u6233\u5c31\u7834\u3002<\/li>\n<\/ol>\n\n\n\n
    \n\n\n\n

    \u4e2a\u4eba\u515c\u5e95\u6d41\u7a0b\uff1a\u4ece\u201c\u88ab\u52a8\u586b\u7a7a\u201d\u5230\u201c\u4e3b\u52a8\u51fa\u51fb\u201d<\/h2>\n\n\n\n

    \u5728\u4f7f\u7528\u5de5\u5177\u524d\uff0c\u5148\u5efa\u7acb\u6b63\u786e\u7684\u601d\u7ef4\u6d41\u3002\u8fd9\u5957\u6d41\u7a0b\u80fd\u5e2e\u4f60\u7406\u6e05\u7d20\u6750\uff1a<\/p>\n\n\n\n

      \n
    1. \u62bd\u53d6 JD \u5173\u952e\u8bcd\uff1a<\/strong> \u627e\u51fa\u76ee\u6807\u5c97\u4f4d JD \u4e2d\u7684 5-10 \u4e2a\u786c\u6280\u80fd\u548c\u8f6f\u6280\u80fd\u8bcd\u6c47\u3002<\/li>\n\n\n\n
    2. \u5efa\u7acb\u7d20\u6750\u5e93\uff08STAR \u539f\u5219\uff09\uff1a<\/strong> \u4e0d\u8981\u5728\u7b80\u5386\u4e0a\u76f4\u63a5\u6539\uff0c\u5148\u5728\u8349\u7a3f\u7eb8\u4e0a\u5217\u51fa\uff1a\u4efb\u52a1\uff08Task\uff09- \u884c\u52a8\uff08Action\uff09- \u7ed3\u679c\uff08Result\uff09- \u6307\u6807\uff08Metric\uff09\u3002<\/li>\n\n\n\n
    3. \u5e76\u884c\u751f\u6210\u591a\u7248\u672c\uff1a<\/strong> \u9488\u5bf9\u540c\u4e00\u6bb5\u7ecf\u5386\uff0c\u51c6\u5907\u201c\u5f3a\u7ed3\u679c\u7248\u201d\u3001\u201c\u5f3a\u6280\u672f\u7248\u201d\u548c\u201c\u5f3a\u9886\u5bfc\u529b\u7248\u201d\u3002<\/li>\n\n\n\n
    4. \u6a2a\u5411\u5bf9\u6bd4\u4e0e\u5408\u5e76\uff1a<\/strong> \u6311\u9009\u903b\u8f91\u6700\u786c\u7684\u7248\u672c\u3002<\/li>\n\n\n\n
    5. \u771f\u5b9e\u6027\u81ea\u68c0\uff1a<\/strong> \u786e\u4fdd\u6bcf\u4e00\u53e5\u8bdd\u4f60\u90fd\u80fd\u8bb2\u51fa 3 \u5206\u949f\u7684\u7ec6\u8282\u6545\u4e8b\u3002<\/li>\n<\/ol>\n\n\n\n
      \n\n\n\n

      DiffMind<\/a> \u5b9e\u6218\uff1a\u591a\u6a21\u578b\u540c\u5c4f\uff0c\u91cd\u65b0\u5b9a\u4e49\u201c\u7b80\u5386\u7cbe\u4fee\u201d<\/h2>\n\n\n\n

      DiffMind \u7684\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e\u5b83\u4e0d\u4ec5\u4ec5\u662f\u5e2e\u4f60\u5199\uff0c\u66f4\u662f\u5e2e\u4f60\u201c\u5ba1\u201d\u3002\u901a\u8fc7 compare AI models<\/strong>\uff08\u5bf9\u6bd4 AI \u6a21\u578b\uff09\u529f\u80fd\uff0c\u4f60\u53ef\u4ee5\u5728\u540c\u4e00\u5c4f\u5e55\u4e0a\u8ba9\u4e0d\u540c\u7684 AI \u626e\u6f14\u4e0d\u540c\u7684\u89d2\u8272\uff0c\u5b9e\u73b0\u201c\u6da6\u8272+\u6311\u523a\u201d\u4e00\u6b21\u641e\u5b9a\u3002<\/p>\n\n\n\n

      1. \u540c\u5c4f\u5e76\u884c\uff1a\u6da6\u8272\u4e0e\u6311\u523a\u5206\u5de5\u540c\u65f6\u5b8c\u6210<\/h3>\n\n\n\n

      \u4e0d\u8981\u53ea\u8ba9 AI \u5938\u4f60\uff0c\u8981\u8ba9\u5b83\u201c\u653b\u51fb\u201d\u4f60\u3002\u5728 DiffMind \u4e2d\uff0c\u4f60\u53ef\u4ee5\u540c\u65f6\u8c03\u7528\u591a\u4e2a\u6a21\u578b\uff08\u5982 GPT-4o, Claude 3.5, Gemini Pro\uff09\u5e76\u4e0b\u8fbe\u4e0d\u540c\u6307\u4ee4\uff1a<\/p>\n\n\n\n

        \n
      • \u6a21\u578b A\uff08\u8bed\u8a00\u6da6\u8272\u5b98\uff09\uff1a<\/strong> \u201c\u8bf7\u5c06\u8fd9\u6bb5\u7ecf\u5386\u6539\u5199\u5f97\u66f4\u4e13\u4e1a\uff0c\u4f7f\u7528\u5f3a\u52a8\u8bcd\uff0c\u7b26\u5408 resume help<\/strong> \u7684\u6700\u4f73\u5b9e\u8df5\u3002\u201d<\/li>\n\n\n\n
      • \u6a21\u578b B\uff08\u7ed3\u6784\u9762\u8bd5\u5b98\uff09\uff1a<\/strong> \u201c\u4f60\u662f\u4e00\u540d\u4e25\u82db\u7684\u62db\u8058\u7ecf\u7406\uff0c\u8bf7\u6307\u51fa\u8fd9\u6bb5\u7ecf\u5386\u4e2d\u903b\u8f91\u4e0d\u901a\u3001\u7f3a\u4e4f\u6570\u636e\u6216\u770b\u8d77\u6765\u50cf\u5957\u8bdd\u7684\u5730\u65b9\u3002\u201d<\/li>\n\n\n\n
      • \u6a21\u578b C\uff08\u5173\u952e\u8bcd\u68c0\u67e5\u5458\uff09\uff1a<\/strong> \u201c\u5bf9\u6bd4\u5de6\u4fa7\u7684 JD\uff0c\u8fd9\u6bb5\u7ecf\u5386\u9057\u6f0f\u4e86\u54ea\u4e9b\u5173\u952e\u6280\u80fd\u70b9\uff1f\u201d \u7ed3\u679c\uff1a<\/strong> \u4f60\u4e0d\u4ec5\u5f97\u5230\u4e86\u6539\u5199\u540e\u7684\u6587\u5b57\uff0c\u8fd8\u540c\u65f6\u770b\u5230\u4e86\u6f5c\u5728\u7684\u98ce\u9669\u548c\u6f0f\u6d1e\uff0c\u8fd9\u662f\u5355\u4e00\u6a21\u578b\u65e0\u6cd5\u505a\u5230\u7684\u3002<\/li>\n<\/ul>\n\n\n\n

        2. \u4ea4\u53c9\u9a8c\u8bc1\uff0c\u964d\u4f4e\u201c\u8fc7\u5ea6\u5305\u88c5\u201d\u98ce\u9669<\/h3>\n\n\n\n

        AI \u6709\u65f6\u4f1a\u4e3a\u4e86\u201c\u597d\u542c\u201d\u800c\u7f16\u9020\u4e8b\u5b9e\u3002\u901a\u8fc7 DiffMind \u7684\u591a\u6a21\u578b\u5bf9\u6bd4\uff0c\u4f60\u53ef\u4ee5\u5feb\u901f\u53d1\u73b0\u5f02\u5e38\uff1a \u5982\u679c\u6a21\u578b A \u5efa\u8bae\u5199\u201c\u63d0\u5347\u4e86 200% \u6548\u7387\u201d\uff0c\u800c\u6a21\u578b B \u8b66\u544a\u201c\u7f3a\u4e4f\u57fa\u51c6\u6570\u636e\uff0c\u5efa\u8bae\u5177\u4f53\u5316\u201d\uff0c\u4f60\u5c31\u8981\u8b66\u60d5\u4e86\u3002\u8fd9\u79cd\u4ea4\u53c9\u9a8c\u8bc1\u80fd\u6709\u6548\u964d\u4f4e proofread resume<\/strong> \u65f6\u7684\u76f2\u533a\uff0c\u907f\u514d\u9762\u8bd5\u65f6\u56e0\u201c\u7b80\u5386\u9020\u5047\u201d\u88ab\u6302\u3002<\/p>\n\n\n\n

        3. \u7edf\u4e00\u98ce\u683c\u4e0e\u683c\u5f0f\uff0c\u51cf\u5c11\u62fc\u8d34\u611f<\/h3>\n\n\n\n

        \u5f53\u4f60\u4ece\u4e0d\u540c\u7248\u672c\u4e2d\u62fc\u51d1\u51fa\u6700\u4f73\u5185\u5bb9\u540e\uff0c\u5f80\u5f80\u4f1a\u51fa\u73b0\u8bed\u8c03\u4e0d\u4e00\u7684\u95ee\u9898\u3002 \u6700\u540e\u4e00\u6b65\uff0c\u5c06\u5b9a\u7a3f\u653e\u5165 DiffMind\uff0c\u8ba9\u591a\u4e2a\u6a21\u578b\u5e76\u884c\u8fdb\u884c\u201c\u6574\u5f62\u624b\u672f\u201d\uff1a<\/p>\n\n\n\n

          \n
        • \u201c\u7edf\u4e00\u68c0\u67e5\u52a8\u8bcd\u65f6\u6001\uff08\u8fc7\u53bb\u5f0f\uff09\u3002\u201d<\/li>\n\n\n\n
        • \u201c\u7edf\u4e00\u6570\u5b57\u683c\u5f0f\uff08\u5982\uff1a10k vs 10,000\uff09\u3002\u201d<\/li>\n\n\n\n
        • \u201c\u786e\u4fdd\u672f\u8bed\u4e0e\u884c\u4e1a\u6807\u51c6\u4e00\u81f4\u3002\u201d \u8fd9\u80fd\u786e\u4fdd\u4f60\u7684\u7b80\u5386\u8bfb\u8d77\u6765\u50cf\u662f\u4e00\u4e2a\u4e13\u4e1a\u4eba\u58eb\u7684\u6574\u4f53\u8868\u8fbe\uff0c\u800c\u4e0d\u662f\u788e\u7247\u7684\u5806\u780c\u3002<\/li>\n<\/ul>\n\n\n\n
          \n\n\n\n

          \u5fae\u578b\u793a\u4f8b\uff1a\u4ece\u201c\u804c\u8d23\u201d\u5230\u201c\u6210\u679c\u201d<\/h2>\n\n\n\n

          \u539f\u6587\uff08\u592a\u5e72\uff09\uff1a<\/strong><\/p>\n\n\n\n

            \n
          • \u201c\u8d1f\u8d23\u516c\u53f8\u516c\u4f17\u53f7\u7684\u65e5\u5e38\u66f4\u65b0\uff0c\u64b0\u5199\u6587\u7ae0\uff0c\u56de\u590d\u540e\u53f0\u7559\u8a00\u3002\u201d<\/li>\n<\/ul>\n\n\n\n

            DiffMind \u591a\u6a21\u578b\u4f18\u5316\u540e\u7684\u878d\u5408\u7248\u672c\uff08\u5f3a\u7ed3\u679c\uff09\uff1a<\/strong><\/p>\n\n\n\n

              \n
            • \u201c\u4e3b\u5bfc<\/strong>\u516c\u53f8\u516c\u4f17\u53f7\u5185\u5bb9\u8fd0\u8425\uff08Action\uff09\uff0c\u901a\u8fc7\u4f18\u5316\u9009\u9898\u7b56\u7565\u4e0e\u6807\u9898\u6d4b\u8bd5\uff08Method\uff09\uff0c\u5c06\u6587\u7ae0\u5e73\u5747\u6253\u5f00\u7387\u4ece 2% \u63d0\u5347\u81f3 5.8%\uff08Result\uff09\uff0c\u5b63\u5ea6\u589e\u7c89 1.2w+\uff08Metric\uff09\uff0c\u5e76\u5efa\u7acb\u7528\u6237\u7559\u8a00\u53cd\u9988SOP\uff0c\u54cd\u5e94\u65f6\u95f4\u7f29\u77ed 50%\u3002\u201d<\/li>\n<\/ul>\n\n\n\n
              \n\n\n\n

              \u81ea\u6551 Checklist\uff1a\u6295\u9012\u524d\u7684\u6700\u540e 5 \u5206\u949f<\/h2>\n\n\n\n

              \u5728\u4f7f\u7528 DiffMind \u5b8c\u6210\u4fee\u6539\u540e\uff0c\u8bf7\u5bf9\u7167\u4ee5\u4e0b\u6e05\u5355\u505a\u6700\u540e\u786e\u8ba4\uff1a<\/p>\n\n\n\n

                \n
              •  \u6bcf\u6761\u6838\u5fc3\u7ecf\u5386\u662f\u5426\u90fd\u5305\u542b\u4e86\u201c\u7ed3\u679c\/\u5f71\u54cd\/\u6307\u6807\u201d\uff1f<\/li>\n\n\n\n
              •  \u5173\u952e\u8bcd\u662f\u5426\u5df2\u5bf9\u9f50\u76ee\u6807 JD\uff08\u786c\u6280\u80fd\/\u8f6f\u6280\u80fd\uff09\uff1f<\/li>\n\n\n\n
              •  \u662f\u5426\u5b58\u5728\u4f60\u81ea\u5df1\u90fd\u89e3\u91ca\u4e0d\u6e05\u7684\u201c\u9ad8\u5927\u4e0a\u201d\u8bcd\u6c47\uff1f<\/li>\n\n\n\n
              •  \u683c\u5f0f\u662f\u5426\u7edd\u5bf9\u7edf\u4e00\uff08\u65e5\u671f\u683c\u5f0f\u3001\u6807\u70b9\u5168\u89d2\u534a\u89d2\u3001\u9879\u76ee\u7b26\u53f7\uff09\uff1f<\/li>\n\n\n\n
              •  \u4f60\u7684 interview introduction<\/strong> \u662f\u5426\u80fd\u5728 30 \u79d2\u5185\u8bb2\u6e05\u201c\u6211\u662f\u8c01+\u6211\u6709\u4ec0\u4e48\u4eae\u70b9+\u6211\u4e3a\u4ec0\u4e48\u5339\u914d\u201d\uff1f<\/li>\n<\/ul>\n\n\n\n

                \u522b\u8ba9\u4e00\u4efd\u5e73\u5eb8\u7684\u7b80\u5386\u57cb\u6ca1\u4e86\u4f60\u7684\u624d\u534e\u3002\u7528 DiffMind \u7684\u591a\u6a21\u578b\u89c6\u89d2\uff0c\u7ed9\u81ea\u5df1\u627e\u4e00\u4e2a\u6700\u4e25\u683c\u7684\u201cAI \u5bfc\u5e08\u201d\uff0c\u5728\u6295\u9012\u524d\u628a\u7b80\u5386\u6253\u78e8\u5230\u6781\u81f4\u3002<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

                \u6295\u9012\u622a\u6b62\u5728\u5373\uff0c\u4f60\u7684\u7b80\u5386\u5374\u8d8a\u6539\u8d8a\u7a7a\u6d1e\uff1f\u672c\u6587\u5c06\u63ed\u793a\u4e3a\u4ec0\u4e48\u5355\u6b21 AI \u6539\u5199\u5bb9\u6613\u5bfc\u81f4\u201c\u6a21\u677f\u5316\u201d\u548c\u201c\u8fc7\u5ea6\u5305\u88c5\u201d\uff0c\u5e76\u5206\u4eab\u4e00\u5957\u57fa\u4e8e DiffMind \u7684 AI resume tool\uff08AI \u7b80\u5386\u5de5\u5177\uff09\u5de5\u4f5c\u6d41\u3002\u901a\u8fc7 multi-model AI assistant\uff08\u591a\u6a21\u578b AI \u52a9\u624b\uff09\u5b9e\u73b0\u540c\u5c4f\u201c\u5de6\u624b\u6da6\u8272\u3001\u53f3\u624b\u6311\u523a\u201d\uff0c\u5728\u63d0\u5347 ATS optimization\uff08ATS\u901a\u8fc7\u7387\uff09\u7684\u540c\u65f6\uff0c\u786e\u4fdd interview introduction\uff08\u9762\u8bd5\u81ea\u6211\u4ecb\u7ecd\uff09\u771f\u5b9e\u53ef\u4fe1\uff0c\u52a9\u4f60\u6253\u9020\u4e00\u4efd\u7ecf\u5f97\u8d77\u6df1\u6316\u7684\u5b9e\u6218\u7b80\u5386\u3002<\/p>\n","protected":false},"author":1,"featured_media":1276,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[35,36,52,33,49],"class_list":{"0":"post-1275","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-news","8":"tag-ai-","9":"tag-diffmind","11":"tag--ai-","12":"tag-49"},"_links":{"self":[{"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/posts\/1275","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/comments?post=1275"}],"version-history":[{"count":2,"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/posts\/1275\/revisions"}],"predecessor-version":[{"id":1281,"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/posts\/1275\/revisions\/1281"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/media\/1276"}],"wp:attachment":[{"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/media?parent=1275"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/categories?post=1275"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.diffmind.ai\/zh_cn\/wp-json\/wp\/v2\/tags?post=1275"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}