{"id":290864,"date":"2024-12-28T19:00:40","date_gmt":"2024-12-28T19:00:40","guid":{"rendered":"https:\/\/verdant-pillar.flywheelstaging.com\/%e7%bc%96%e7%a8%8b%e8%af%ad%e8%a8%80%e5%92%8c%e6%9e%b6%e6%9e%84%ef%bc%9achatgpt-%e7%9a%84%e7%bb%93%e6%9e%84%e5%a6%82%e4%bd%95%ef%bc%9f\/"},"modified":"2024-12-28T19:00:40","modified_gmt":"2024-12-28T19:00:40","slug":"%e7%bc%96%e7%a8%8b%e8%af%ad%e8%a8%80%e5%92%8c%e6%9e%b6%e6%9e%84%ef%bc%9achatgpt-%e7%9a%84%e7%bb%93%e6%9e%84%e5%a6%82%e4%bd%95%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/globalfinanceschool.com\/zh-hans\/%e7%bc%96%e7%a8%8b%e8%af%ad%e8%a8%80%e5%92%8c%e6%9e%b6%e6%9e%84%ef%bc%9achatgpt-%e7%9a%84%e7%bb%93%e6%9e%84%e5%a6%82%e4%bd%95%ef%bc%9f\/","title":{"rendered":"\u7f16\u7a0b\u8bed\u8a00\u548c\u67b6\u6784\uff1aChatGPT \u7684\u7ed3\u6784\u5982\u4f55\uff1f"},"content":{"rendered":"<header>\n<h1>\u5173\u4e8e\u6784\u5efa ChatGPT \u7684\u6587\u7ae0<\/h1>\n<\/header>\n<article>\n<section>\n<h2>\u4ecb\u7ecd<\/h2>\n<p>\n  ChatGPT \u662f\u4eba\u5de5\u667a\u80fd\u9886\u57df\u6700\u5148\u8fdb\u7684\u6a21\u578b\u4e4b\u4e00\uff0c\u662f\u7ed3\u5408\u5148\u8fdb<br \/>\n \u6280\u672f\u548c\u590d\u6742\u7f16\u7a0b\u8bed\u8a00\u7684\u4e00\u4e2a\u5f88\u597d\u7684\u4f8b\u5b50\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u8ba8\u8bba\u7528\u4e8e\u5f00\u53d1 ChatGPT \u7b49<br \/>\n AI \u6a21\u578b\u7684\u4e09\u79cd\u5173\u952e\u7f16\u7a0b\u8bed\u8a00\uff0c\u5e76\u63a2\u7d22\u8be5\u5e73\u53f0\u80cc\u540e\u7684\u67b6\u6784\u3002\n        <\/p>\n<\/section>\n<section>\n<h2>\u7b2c\u4e00\u8bed\u8a00\uff1aPython<\/h2>\n<p>\n  Python \u662f AI \u793e\u533a\u4e2d\u6700\u6d41\u884c\u548c\u4f7f\u7528\u6700\u5e7f\u6cdb\u7684\u8bed\u8a00\u4e4b\u4e00\u3002<br \/>\n \u5b83\u6613\u4e8e\u4f7f\u7528\u5e76\u5141\u8bb8\u60a8\u5feb\u901f\u6709\u6548\u5730\u8fdb\u884c\u7f16\u7a0b\uff0c\u8fd9\u4e00\u4e8b\u5b9e\u4f7f\u5176\u6210\u4e3a\u5f00\u53d1\u4eba\u5458\u548c\u6570\u636e\u79d1\u5b66\u5bb6\u7684\u9996\u9009<br \/>\n \u3002\n        <\/p>\n<h3>Python \u7684\u7279\u70b9<\/h3>\n<ul>\n<li>\u7b80\u5355\u6613\u8bfb\u7684\u8bed\u6cd5<\/li>\n<li>TensorFlow \u548c PyTorch \u7b49\u9ad8\u7ea7\u5e93<\/li>\n<li>\u5e9e\u5927\u7684\u793e\u533a\u548c\u5e7f\u6cdb\u7684\u652f\u6301<\/li>\n<\/ul>\n<p>\n  \u8fd9\u4e9b\u5e93\u652f\u6301\u4ee5\u7b80\u5355\u7684\u65b9\u5f0f\u5f00\u53d1\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002 \u4f8b\u5982\uff0cOpenAI \u4f7f\u7528 PyTorch \u5f00\u53d1 GPT \u7b49\u6a21\u578b\u3002Python \u4e0d\u4ec5\u652f\u6301\u6a21\u578b\u7684\u8bad\u7ec3\uff0c<br \/>\n \u8fd8\u652f\u6301\u5141\u8bb8\u5728\u8bad\u7ec3\u540e\u4f7f\u7528\u6a21\u578b\u7684\u811a\u672c\u3002 <\/p>\n<h4>Python \u7684\u7528\u9014\u793a\u4f8b<\/h4>\n<p>\n  Python \u4e0d\u4ec5\u7528\u4e8e\u5f00\u53d1\u6a21\u578b\uff0c\u8fd8\u7528\u4e8e\u5206\u6790\u6570\u636e\u3001<br \/>\n \u81ea\u52a8\u5316\u6d41\u7a0b\u548c\u5f00\u53d1\u5404\u79cd\u5e94\u7528\u7a0b\u5e8f\u3002\u4f8b\u5982\uff0cPython \u53ef\u7528\u4e8e\u5206\u6790\u6765\u81ea\u4e0d\u540c\u6765\u6e90\u7684\u6570\u636e\u3001<br \/>\n \u6267\u884c\u9ad8\u7ea7\u8ba1\u7b97\u548c\u751f\u6210\u53ef\u89c6\u5316\u62a5\u544a\u3002\n        <\/p>\n<h5>Python \u4e2d\u7684\u70ed\u95e8\u5e93<\/h5>\n<ol>\n<li>Pandas &#8211; \u6570\u636e\u5206\u6790<\/li>\n<li>Numpy &#8211; \u7528\u4e8e\u9ad8\u7ea7\u8ba1\u7b97<\/li>\n<li>Matplotlib &#8211; \u7528\u4e8e\u521b\u5efa\u56fe\u5f62\u548c\u53ef\u89c6\u5316<\/li>\n<\/ol>\n<h3>Python \u5728 AI \u4e2d\u7684\u4f18\u52bf<\/h3>\n<p>\n  Python \u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\u63d0\u4f9b\u4e86\u8bb8\u591a\u597d\u5904\uff0c\u5305\u62ec\uff1a\n        <\/p>\n<ul>\n<li>\u6613\u4e8e\u5b66\u4e60 \u2013 Python \u662f\u4e00\u79cd\u6613\u4e8e\u7406\u89e3\u7684\u8bed\u8a00\uff0c\u53ef\u4ee5\u8ba9\u521d\u5b66\u8005\u5feb\u901f\u8fdb\u5165 AI \u4e16\u754c\u3002<\/li>\n<li>\u5e7f\u6cdb\u7684\u652f\u6301 \u2013 \u6709\u8bb8\u591a\u4e13\u4e3a\u4eba\u5de5\u667a\u80fd\u8bbe\u8ba1\u7684\u5e93\uff0c\u4f7f\u5f00\u53d1\u66f4\u5bb9\u6613\u3002<\/li>\n<li>\u6d3b\u8dc3\u7684\u793e\u533a \u2013 Python \u5f00\u53d1\u8005\u793e\u533a\u975e\u5e38\u6d3b\u8dc3\uff0c\u7f51\u4e0a\u6709\u5f88\u591a\u8d44\u6e90\u3002<\/li>\n<\/ul>\n<\/section>\n<section>\n<h2>\u7b2c\u4e8c\u8bed\u8a00\uff1aJava<\/h2>\n<p>\n \u5c3d\u7ba1 Python \u662f\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u4e3b\u5bfc\u8bed\u8a00\uff0c\u4f46 Java \u4e5f\u53d1\u6325\u7740\u91cd\u8981\u4f5c\u7528\uff0c<br \/>\n\u5c24\u5176\u662f\u5728\u670d\u52a1\u5668\u7aef\u4ee5\u53ca\u5c06\u673a\u5668\u5b66\u4e60\u6a21\u578b\u4e0e Web \u670d\u52a1\u76f8\u7ed3\u5408\u7684\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\u4e2d\u3002<\/p>\n<h3>Java \u7684\u4f18\u52bf<\/h3>\n<ul>\n<li>\u5373\u65f6\u901a\u8baf\u5e73\u53f0<\/li>\n<li>\u6027\u80fd\u589e\u5f3a\u548c\u53ef\u6269\u5c55\u6027<\/li>\n<li>\u80fd\u591f\u652f\u6301\u5177\u6709\u8bb8\u591a\u7528\u6237\u7684\u590d\u6742\u5e94\u7528\u7a0b\u5e8f<\/li>\n<\/ul>\n<p>\n  \u5de5\u4e1a\u4e2d\u5e38\u7528\u7684 Apache Kafka \u7b49\u4ea7\u54c1\u53ef\u786e\u4fdd\u4fe1\u606f\u5728\u4e0d\u540c\u6a21\u578b<br \/>\n \u548c\u5e94\u7528\u7a0b\u5e8f\u4e4b\u95f4\u65e0\u7f1d\u6d41\u52a8\u3002Java \u5728\u6784\u5efa\u5728\u5177\u6709\u590d\u6742\u8981\u6c42\u548c\u9ad8\u5ea6\u8d23\u4efb\u7684\u73af\u5883\u4e2d<br \/>\n \u5b9e\u65bd AI \u7684\u7cfb\u7edf\u65f6\u975e\u5e38\u6d41\u884c\u3002\n        <\/p>\n<h4>Java \u5728\u4eba\u5de5\u667a\u80fd\u4e2d\u7684\u7528\u9014<\/h4>\n<p>\n  Java \u7528\u4e8e\u5f00\u53d1\u6570\u636e\u7ba1\u7406\u7cfb\u7edf\u3001Web \u670d\u52a1\u548c\u57fa\u4e8e\u4e91\u7684\u5e94\u7528\u7a0b\u5e8f\u3002 \u5b83\u652f\u6301\u5f00\u53d1\u80fd\u591f\u5904\u7406\u5927\u91cf\u6570\u636e\u5e76\u63d0\u4f9b\u5b9e\u65f6\u7ed3\u679c\u7684\u7cfb\u7edf\u3002 <\/p>\n<h5>Java \u4e2d\u7684\u5e38\u7528\u5e93<\/h5>\n<ol>\n<li>Weka &#8211; \u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60<\/li>\n<li>Deeplearning4j &#8211; \u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60<\/li>\n<li>Apache Spark \u2013 \u7528\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406<\/li>\n<\/ol>\n<h3>Java \u5728 AI \u4e2d\u7684\u4f18\u52bf<\/h3>\n<p>\n  Java \u5177\u6709\u8bb8\u591a\u4f18\u52bf\uff0c\u5305\u62ec\uff1a\n        <\/p>\n<ul>\n<li>\u9ad8\u6027\u80fd \u2013 Java \u4ee5\u5176\u6027\u80fd\u800c\u95fb\u540d\uff0c\u8fd9\u4f7f\u5b83\u80fd\u591f\u5904\u7406\u7e41\u91cd\u7684\u5e94\u7528\u7a0b\u5e8f\u3002<\/li>\n<li>\u652f\u6301\u5206\u5e03\u5f0f\u7cfb\u7edf &#8211; Java \u9002\u7528\u4e8e\u5206\u5e03\u5f0f\u7cfb\u7edf\u7684\u5f00\u53d1\uff0c\u8fd9\u5728\u4eba\u5de5\u667a\u80fd\u4e2d\u975e\u5e38\u91cd\u8981\u3002<\/li>\n<li>\u5185\u5b58\u7ba1\u7406\u529f\u80fd \u2013 Java \u63d0\u4f9b\u81ea\u52a8\u5185\u5b58\u7ba1\u7406\uff0c\u4ece\u800c\u7b80\u5316\u5f00\u53d1\u3002<\/li>\n<\/ul>\n<\/section>\n<section>\n<h2>\u7b2c\u4e09\u8bed\u8a00\uff1aR<\/h2>\n<p>\n  R \u662f\u4e00\u95e8\u4e13\u95e8\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5c55\u793a\u7684\u8bed\u8a00\u3002\u5b83\u5e7f\u6cdb\u7528\u4e8e\u7edf\u8ba1\u548c\u4fe1\u606f<br \/>\n \u793e\u533a\uff0c\u5e76\u652f\u6301\u5bf9\u7b97\u6cd5\u8fdb\u884c\u7f16\u7a0b\u4ee5\u5f00\u53d1\u9ad8\u7ea7\u6a21\u578b\u3002R \u63d0\u4f9b\u591a\u6837\u5316\u7684\u663e\u793a\u6570\u636e\uff0c\u5e76\u5177\u6709<br \/>\n \u652f\u6301 caret \u548c ggplot2 \u7b49\u9ad8\u7ea7\u786c\u4ef6\u7684\u5e93\u3002\n        <\/p>\n<h3>R \u7684\u7279\u6027<\/h3>\n<ul>\n<li>\u9ad8\u7ea7\u7edf\u8ba1\u65b9\u6cd5<\/li>\n<li>\u4f17\u591a\u6570\u636e\u5206\u6790\u5305<\/li>\n<li>\u9002\u5408\u4e0d\u540c\u4efb\u52a1\u7684\u7075\u6d3b\u73af\u5883<\/li>\n<\/ul>\n<p>\n  R \u975e\u5e38\u9002\u5408\u5bf9\u6570\u636e\u6267\u884c\u5206\u6790\uff0c\u5e76\u4e14\u5176\u4ee3\u7801\u6613\u4e8e\u9605\u8bfb\u3002\u5b83\u4f7f\u7528\u591a\u4e2a\u5e93<br \/>\n \u6765\u89e3\u51b3\u590d\u6742\u7684\u6570\u636e\u95ee\u9898\uff0c\u5e76\u5141\u8bb8\u5bf9\u53c2\u6570\u4fee\u6539\u8fdb\u884c\u8bb8\u591a\u5b9e\u9a8c\uff0c\u5e76\u67e5\u770b\u5b83\u4eec\u5bf9\u6a21\u578b\u7ed3\u679c\u7684\u5f71\u54cd<br \/>\n \u3002\n        <\/p>\n<h4>R \u7684\u5e38\u89c1\u7528\u9014<\/h4>\n<p>\n  R \u7528\u4e8e\u6570\u636e\u5206\u6790\u3001\u9884\u6d4b\u548c\u673a\u5668\u5b66\u4e60\u3002\u5b83\u53d7\u5230\u7814\u7a76\u4eba\u5458\u548c\u5206\u6790\u5e08<br \/>\n \u7684\u6b22\u8fce\uff0c\u56e0\u4e3a\u5b83\u80fd\u591f\u6267\u884c\u9ad8\u7ea7\u7edf\u8ba1\u5206\u6790\u5e76\u521b\u5efa\u4ee4\u4eba\u5370\u8c61\u6df1\u523b\u7684\u56fe\u8868\u548c\u53ef\u89c6\u5316\u3002\n        <\/p>\n<h5>R \u4e2d\u7684\u5e38\u7528\u5e93<\/h5>\n<ol>\n<li>ggplot2 &#8211; \u7528\u4e8e\u521b\u5efa\u56fe\u5f62<\/li>\n<li>dplyr &#8211; \u7528\u4e8e\u6570\u636e\u5904\u7406<\/li>\n<li>CARET &#8211; \u673a\u5668\u5b66\u4e60<\/li>\n<\/ol>\n<h3>R \u5728 AI \u4e2d\u7684\u4f18\u52bf<\/h3>\n<p>\n  R \u5177\u6709\u8bb8\u591a\u4f18\u70b9\uff0c\u5305\u62ec\uff1a\n        <\/p>\n<ul>\n<li>\u9ad8\u7ea7\u5206\u6790\u529f\u80fd \u2013 R \u63d0\u4f9b\u9ad8\u7ea7\u6570\u636e\u5206\u6790\u5de5\u5177\u3002<\/li>\n<li>Statistics Support &#8211; R \u662f\u4e00\u79cd\u4e13\u4e3a\u7edf\u8ba1\u4eba\u5458\u8bbe\u8ba1\u7684\u8bed\u8a00\uff0c\u56e0\u6b64\u5b83\u5728\u8fd9\u4e2a\u9886\u57df\u6709\u5f88\u591a\u5de5\u5177\u3002<\/li>\n<li>\u6d3b\u8dc3\u7684\u793e\u533a \u2013 R \u793e\u533a\u975e\u5e38\u6d3b\u8dc3\uff0c\u7f51\u4e0a\u6709\u5f88\u591a\u8d44\u6e90\u3002<\/li>\n<\/ul>\n<\/section>\n<section>\n<h2>ChatGPT \u7684\u67b6\u6784<\/h2>\n<p>\n  ChatGPT \u57fa\u4e8e Transformer \u67b6\u6784\uff0c\u8be5\u67b6\u6784\u7531 Google \u4e8e 2017 \u5e74\u9996\u6b21\u5f00\u53d1\u3002 \u8fd9\u79cd\u67b6\u6784\u662f\u6a21\u578b\u7684\u652f\u67f1\uff0c\u5141\u8bb8\u5b83\u4ee5\u81ea\u7136\u7684\u65b9\u5f0f\u7406\u89e3\u548c\u54cd\u5e94\u8bed\u8a00\u3002 \u5b83\u5305\u62ec\u591a\u5c42\u7f16\u7801\u5668\u548c\u89e3\u7801\u5668\uff0c\u4f7f\u6a21\u578b\u80fd\u591f\u51c6\u786e\u5730\u7406\u89e3\u548c\u751f\u6210\u8bed\u8a00\u3002 <\/p>\n<h3>\u53d8\u538b\u5668\u7684\u7ed3\u6784<\/h3>\n<ul>\n<li><strong>Recording Layer\uff1a<\/strong> \u63a5\u6536\u521d\u59cb\u6570\u636e\u3002<\/li>\n<li><strong>\u7f16\u7801\u5c42\uff1a<\/strong> \u8bc6\u522b\u5355\u8bcd\u4e4b\u95f4\u7684\u8054\u7cfb\u3002<\/li>\n<li><strong>\u89e3\u7801\u5c42\uff1a<\/strong> \u6839\u636e\u5f55\u97f3\u4ea7\u751f\u54cd\u5e94\u3002<\/li>\n<\/ul>\n<p>\n  \u6b64\u4f53\u7cfb\u7ed3\u6784\u7684\u4e3b\u8981\u4f18\u70b9\u4e4b\u4e00\u662f\u5b83\u80fd\u591f\u5904\u7406\u957f\u671f\u8bed\u8a00\u4e0a\u4e0b\u6587\u3002<br \/>\n \u5728 \u201c\u6ce8\u610f\u529b \u201d\u6280\u672f\u7684\u5e2e\u52a9\u4e0b\uff0c\u8be5\u6a21\u578b\u80fd\u591f\u7406\u89e3\u5728\u521b\u5efa\u54cd\u5e94\u65f6\u4f55\u65f6\u4e13\u6ce8\u4e8e\u67d0\u4e9b<br \/>\n \u8bcd\uff0c\u4ece\u800c\u4ee5\u66f4\u81ea\u7136\u7684\u65b9\u5f0f\u8fdb\u884c\u5bf9\u8bdd\u3002\n        <\/p>\n<h4>ChatGPT \u7684\u5e94\u7528<\/h4>\n<p>\n  ChatGPT \u7528\u4e8e\u5e7f\u6cdb\u7684\u5e94\u7528\u7a0b\u5e8f\uff0c\u5305\u62ec\u804a\u5929\u673a\u5668\u4eba\u3001<br \/>\n \u4e2a\u4eba\u52a9\u7406\u548c\u5185\u5bb9\u521b\u5efa\u5de5\u5177\u3002\u5b83\u53ef\u4ee5\u5e2e\u52a9\u56de\u7b54\u95ee\u9898\u3001\u5b8c\u6210\u4efb\u52a1\u548c<br \/>\n \u521b\u5efa\u521b\u610f\u6587\u672c\u3002\n        <\/p>\n<h5>\u4f7f\u7528 ChatGPT \u7684\u6311\u6218<\/h5>\n<p>\n  \u5c3d\u7ba1\u6709\u5f88\u591a\u597d\u5904\uff0c\u4f46\u4f7f\u7528 ChatGPT \u4ecd\u7136\u5b58\u5728\u6311\u6218\uff0c\u4f8b\u5982\u7406\u89e3\u6587\u5316\u80cc\u666f\u53ca\u5176<br \/>\n \u4ea7\u751f\u4e0d\u51c6\u786e\u6216\u4e0d\u9002\u5f53\u5185\u5bb9\u7684\u80fd\u529b\u3002\u76d1\u63a7\u6b64\u7c7b<br \/>\n \u6a21\u578b\u7684\u4f7f\u7528\u5e76\u786e\u4fdd\u5b83\u4eec\u8d1f\u8d23\u4efb\u5730\u8fd0\u884c\u975e\u5e38\u91cd\u8981\u3002\n        <\/p>\n<\/section>\n<section>\n<h2>\u603b\u7ed3<\/h2>\n<p>\n  ChatGPT \u7b49\u6a21\u578b\u7684\u5f00\u53d1\u4f9d\u8d56\u4e8e\u4e09\u79cd\u4e3b\u8981\u7f16\u7a0b\u8bed\u8a00\uff0c\u6bcf\u79cd\u8bed\u8a00\u90fd\u4e3a\u8be5\u8fc7\u7a0b\u505a\u51fa\u4e86\u72ec\u7279\u7684\u8d21\u732e<br \/>\n \uff1aPython\u3001Java \u548c R\u3002\u8be5\u6a21\u578b\u7684\u67b6\u6784\u8fd8\u57fa\u4e8e\u5148\u8fdb\u7684\u6280\u672f\uff0c\u8fd9\u4e9b\u6280\u672f<br \/>\n \u5141\u8bb8\u6a21\u578b\u521b\u5efa\u81ea\u7136\u5bf9\u8bdd\uff0c\u5728\u4fe1\u606f\u4e4b\u95f4\u5efa\u7acb\u8054\u7cfb\uff0c\u5e76\u63d0\u9ad8\u5176\u6548\u7387<br \/>\n \u3002\u4e86\u89e3\u8fd9\u4e9b\u8bed\u8a00\u548c\u6280\u672f\u662f\u90a3\u4e9b\u6709\u5174\u8da3\u8fdb\u5165\u4eba\u5de5\u667a\u80fd\u4e16\u754c\u7684\u4eba\u7684\u57fa\u672c\u6b65\u9aa4\u3002\n        <\/p>\n<\/section>\n<\/article>\n<footer>\n<p>\u00a9 2023 \u2013 \u4e00\u7bc7\u5173\u4e8e\u6784\u5efa ChatGPT \u7684\u6587\u7ae0\u3002<\/p>\n<\/footer>\n","protected":false},"excerpt":{"rendered":"<p>\u5173\u4e8e\u6784\u5efa ChatGPT \u7684\u6587\u7ae0 \u4ecb\u7ecd ChatGPT \u662f\u4eba\u5de5\u667a\u80fd\u9886\u57df\u6700\u5148\u8fdb\u7684\u6a21\u578b\u4e4b\u4e00\uff0c\u662f\u7ed3\u5408\u5148\u8fdb \u6280\u672f\u548c\u590d\u6742 [&hellip;]<\/p>\n","protected":false},"author":9274,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17071],"tags":[17072,13816],"class_list":["post-290864","post","type-post","status-publish","format-standard","hentry","category-gpt-","tag-gpt-","tag-13816"],"_links":{"self":[{"href":"https:\/\/globalfinanceschool.com\/zh-hans\/wp-json\/wp\/v2\/posts\/290864","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalfinanceschool.com\/zh-hans\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/globalfinanceschool.com\/zh-hans\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/globalfinanceschool.com\/zh-hans\/wp-json\/wp\/v2\/users\/9274"}],"replies":[{"embeddable":true,"href":"https:\/\/globalfinanceschool.com\/zh-hans\/wp-json\/wp\/v2\/comments?post=290864"}],"version-history":[{"count":0,"href":"https:\/\/globalfinanceschool.com\/zh-hans\/wp-json\/wp\/v2\/posts\/290864\/revisions"}],"wp:attachment":[{"href":"https:\/\/globalfinanceschool.com\/zh-hans\/wp-json\/wp\/v2\/media?parent=290864"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globalfinanceschool.com\/zh-hans\/wp-json\/wp\/v2\/categories?post=290864"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globalfinanceschool.com\/zh-hans\/wp-json\/wp\/v2\/tags?post=290864"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}