{"id":1333,"date":"2024-05-04T19:31:30","date_gmt":"2024-05-04T19:31:30","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1333"},"modified":"2024-05-04T19:31:30","modified_gmt":"2024-05-04T19:31:30","slug":"chatgptzuijiashijianxiliedi5pian-shiyongwaibugongju","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/chatgptzuijiashijianxiliedi5pian-shiyongwaibugongju.html","title":{"rendered":"ChatGPT\u6700\u4f73\u5b9e\u8df5\u7cfb\u5217\u7b2c5\u7bc7-\u4f7f\u7528\u5916\u90e8\u5de5\u5177"},"content":{"rendered":"<h2 data-id=\"heading-0\">\u80cc\u666f<\/h2>\n<p>OpenAI\u5b98\u65b9\u8be6\u7ec6\u4ecb\u7ecd\u4e86ChatGPT\u4f7f\u7528\u7684\u6700\u4f73\u5b9e\u8df5\uff0c\u4e0d\u4ec5\u9002\u7528\u4e8e\u4f7f\u7528ChatGPT\u7f51\u7ad9\u8fdb\u884c\u76f4\u63a5\u5bf9\u8bdd\u7684\u7528\u6237\uff0c\u8fd8\u9002\u7528\u4e8e\u901a\u8fc7OpenAI API\u63a5\u5165\u7684\u5f00\u53d1\u8005\u3002<\/p>\n<p>\u638c\u63e1\u4e86\u8fd9\u4e9b\u6700\u4f73\u5b9e\u8df5\uff0c\u5c31\u80fd\u66f4\u597d\u5730\u5229\u7528GPT\u5927\u6a21\u578b\u3002<\/p>\n<p>\u672c\u6587\u662fChatGPT\u4f7f\u7528\u6700\u4f73\u5b9e\u8df5\u7cfb\u5217\u7b2c5\u7bc7 &#8211; \u4f7f\u7528\u5916\u90e8\u5de5\u5177\u3002<\/p>\n<h2 data-id=\"heading-1\">\u7b56\u75651\uff1a\u4f7f\u7528\u5411\u91cf\u641c\u7d22\u6765\u5b9e\u73b0\u9ad8\u6548\u77e5\u8bc6\u68c0\u7d22<\/h2>\n<p>\u7528\u6237\u63d0\u95ee\u7684\u65f6\u5019\uff0c\u5982\u679c\u80fd\u62ff\u5230\u548c\u95ee\u9898\u6709\u5173\u7684\u4fe1\u606f\uff0c\u662f\u6709\u52a9\u4e8e\u5927\u6a21\u578b\u63d0\u5347\u56de\u7b54\u6548\u679c\u7684\u3002<\/p>\n<p>\u6bd4\u5982\u7528\u6237\u5728\u9488\u5bf9\u67d0\u90e8\u7535\u5f71\u505a\u63d0\u95ee\u7684\u65f6\u5019\uff0c\u5982\u679c\u4f60\u80fd\u628a\u7535\u5f71\u7684\u6f14\u5458\u3001\u5bfc\u6f14\u3001\u5267\u60c5\u7b49\u4fe1\u606f\u4e5f\u4e00\u8d77\u4f5c\u4e3aprompt\u7ed9\u5230\u5927\u6a21\u578b\uff0c\u90a3\u5927\u6a21\u578b\u7684\u56de\u7b54\u6548\u679c\u4f1a\u66f4\u597d\u3002<\/p>\n<p>\u800c\u4e14\u8fd9\u4e00\u62db\u4e5f\u80fd\u89e3\u51b3\u65f6\u6548\u6027\u7684\u95ee\u9898\uff0c\u56e0\u4e3a\u53ef\u4ee5\u9488\u5bf9\u7528\u6237\u7684\u63d0\u95ee\u5b9e\u65f6\u68c0\u7d22\u6700\u65b0\u4fe1\u606f\uff0c\u7136\u540e\u4e00\u8d77\u4f5c\u4e3aprompt\u5582\u7ed9\u5927\u6a21\u578b\u3002<\/p>\n<p>\u6bd4\u5982Google\u7684Bard\u548cBaichuan\u5c31\u5f15\u5165\u4e86\u641c\u7d22\u589e\u5f3a\u6765\u89e3\u51b3\u65f6\u6548\u6027\u95ee\u9898\u3002<\/p>\n<p>\u8981\u5b9e\u73b0\u4e0a\u9762\u8bf4\u7684\u9ad8\u6548\u68c0\u7d22\uff0c\u5c31\u53ef\u4ee5\u7528\u5230\u5411\u91cf\u68c0\u7d22\u7684\u6280\u672f\u3002<\/p>\n<p>\u5411\u91cf\u68c0\u7d22\u662f\u628a\u8f93\u5165\u7684\u6587\u672c\u8f6c\u5316\u6210\u4e00\u4e2avector\u5411\u91cf\uff0c\u7136\u540e\u57fa\u4e8e\u5411\u91cf\u4e4b\u95f4\u7684\u76f8\u4f3c\u5ea6\u8861\u91cf\u5c31\u53ef\u4ee5\u627e\u5230\u76f8\u4f3c\u7684\u6587\u672c\u6570\u636e\u3002<\/p>\n<p>\u73b0\u5728\u57fa\u4e8e\u5927\u6a21\u578b\u505a\u77e5\u8bc6\u5e93\u52a9\u624b\uff0c\u5c31\u662f\u4f7f\u7528\u5411\u91cf\u68c0\u7d22\u5230\u65b9\u6848\u6765\u5b9e\u73b0\u7684\u3002<\/p>\n<p>\u5177\u4f53\u7528\u4f8b\u53ef\u4ee5\u53c2\u8003\uff1a<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fgithub.com%2Fopenai%2Fopenai-cookbook%2Fblob%2Fmain%2Fexamples%2Fvector_databases%2FUsing_vector_databases_for_embeddings_search.ipynb\" title=\"https:\/\/github.com\/openai\/openai-cookbook\/blob\/main\/examples\/vector_databases\/Using_vector_databases_for_embeddings_search.ipynb\" target=\"_blank\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">OpenAI Cookbook<\/a>\u3002<\/p>\n<h2 data-id=\"heading-2\">\u7b56\u75652\uff1a\u8ba9\u5927\u6a21\u578b\u5199\u4ee3\u7801\u6765\u5b9e\u73b0\u7cbe\u786e\u8ba1\u7b97<\/h2>\n<p>\u8ba9GPT\u76f4\u63a5\u505a\u7cbe\u786e\u7684\u6570\u503c\u8ba1\u7b97\u6216\u8005\u903b\u8f91\u5f88\u590d\u6742\u7684\u8ba1\u7b97\u662f\u4e0d\u9760\u8c31\u7684\u3002<\/p>\n<p>\u4f46\u662f\uff0c\u6211\u4eec\u53ef\u4ee5\u8ba9GPT\u7f16\u5199\u8ba1\u7b97\u4ee3\u7801\uff0c\u7136\u540e\u6211\u4eec\u81ea\u5df1\u672c\u5730\u8fd0\u884cGPT\u751f\u6210\u7684\u4ee3\u7801\u6765\u5b9e\u73b0\u7cbe\u786e\u7684\u8ba1\u7b97\u3002<\/p>\n<p>\u6bd4\u5982\u4e0b\u9762\u7684\u4f8b\u5b50\uff0c\u4f60\u53ef\u4ee5\u8ba9\u901a\u8fc7system\u6d88\u606f\u8ba9\u5927\u6a21\u578b\u7f16\u5199\u4ee3\u7801\uff0c\u628a\u4ee3\u7801\u6309\u7167\u4f60\u9884\u671f\u7684\u683c\u5f0f\u8f93\u51fa\u3002\u7136\u540e\u4f60\u53ef\u4ee5\u9488\u5bf9\u8fd9\u4e2a\u683c\u5f0f\u6765\u89e3\u6790\u5927\u6a21\u578b\u7684\u8f93\u51fa\u4ee3\u7801\uff0c\u6700\u540e\u5728\u4f60\u7684\u8fd0\u884c\u73af\u5883\u6267\u884c\u4ee3\u7801\uff0c\u62ff\u5230\u8ba1\u7b97\u7ed3\u679c\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th>System<\/th>\n<th>You can write and execute Python code by enclosing it in triple backticks, e.g. <br \/>&#8220;`code goes here&#8220;`.<br \/> Use this to perform calculations.<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>user<\/td>\n<td>Find all real-valued roots of the following polynomial: 3*x**5 &#8211; 5*x**4 &#8211; 3*x**3 &#8211; 7*x &#8211; 10.<\/td>\n<\/tr>\n<tr>\n<td>assistant<\/td>\n<td>To find the roots of the polynomial, we can use the <code>numpy.roots<\/code> function in Python. This function computes the roots of a polynomial with coefficients given in a list. The list represents the coefficients of the polynomial from highest degree to lowest.<\/p>\n<p>Here is the Python code to find the roots of the polynomial:<\/p>\n<p>&#8220;`python<br \/>import numpy as np<\/p>\n<p># Coefficients of the polynomial<br \/>coeff = [3, -5, -3, 0, -7, -10]<\/p>\n<p># Compute the roots<br \/>roots = np.roots(coeff)<\/p>\n<p># Print only real roots<br \/>real_roots = [root for root in roots if np.isreal(root)]<br \/>print(real_roots)<br \/>&#8220;`<br \/>Please note that the roots may not be exact due to numerical precision issues. Also, the roots are not guaranteed to be real; they could be complex numbers. The code above filters out only the real roots.<\/td>\n<\/tr>\n<tr>\n<td>user<\/td>\n<td>run the code above, and output the result<\/td>\n<\/tr>\n<tr>\n<td>assistant<\/td>\n<td>I&#8217;m sorry for the confusion, but as a text-based AI, I don&#8217;t have the ability to execute Python code. However, you can run the code provided in your local Python environment or any online Python compiler to get the real-valued roots of the polynomial.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5927\u6a21\u578b\u662f\u65e0\u6cd5\u76f4\u63a5\u8fd0\u884c\u4ee3\u7801\u7684\uff0c\u9700\u8981\u5728\u4f60\u672c\u5730\u73af\u5883\u8fd0\u884c\u3002<\/p>\n<p>\u53ef\u4ee5\u5728\u8fd9\u4e2a\u94fe\u63a5\u5730\u5740\u8fdb\u884c\u4f53\u9a8c\uff1a<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fplatform.openai.com%2Fplayground%2Fp%2Fdefault-code-execution\" title=\"https:\/\/platform.openai.com\/playground\/p\/default-code-execution\" target=\"_blank\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">Open in Playground<\/a>\u3002<\/p>\n<p>\u5982\u679c\u4f60\u5e0c\u671b\u5927\u6a21\u578b\u7f16\u5199\u7684\u4ee3\u7801\u8c03\u7528\u67d0\u4e2a\u6307\u5b9a\u7684API\uff0c\u90a3\u53ef\u4ee5\u63d0\u4f9b\u8fd9\u4e2aAPI\u7684\u8bf4\u660e\u6216\u8005\u4ee3\u7801\u6837\u4f8b\uff0c\u6559\u4f1a\u5927\u6a21\u578b\u5982\u4f55\u4f7f\u7528\u8fd9\u4e2aAPI\uff0c\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>system<\/th>\n<th>You can write and execute Python code by enclosing it in triple backticks. Also note that you have access to the following module to help users send messages to their friends: <br \/>&#8220;`python <br \/>import message <br \/>message.write(to=&#8221;John&#8221;, message=&#8221;Hey, want to meetup after work?&#8221;)<br \/>&#8220;`<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>user<\/td>\n<td>Let Alice know I&#8217;ll meet her at the coffee shop at 10.<\/td>\n<\/tr>\n<tr>\n<td>assistant<\/td>\n<td>Sure, I can help you with that. Here is the Python code to send the message to Alice.<\/p>\n<p>&#8220;`python<br \/>import message<br \/>message.write(to=&#8221;Alice&#8221;, message=&#8221;I&#8217;ll meet you at the coffee shop at 10.&#8221;)<br \/>&#8220;`<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u53ef\u4ee5\u5728\u8fd9\u4e2a\u94fe\u63a5\u5730\u5740\u8fdb\u884c\u4f53\u9a8c\uff1a<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fplatform.openai.com%2Fplayground%2Fp%2Fdefault-code-api\" title=\"https:\/\/platform.openai.com\/playground\/p\/default-code-api\" target=\"_blank\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">Open in Playground<\/a>\u3002<\/p>\n<p>\u6ce8\u610f\uff1a\u5728\u4f60\u672c\u5730\u73af\u5883\u6267\u884c\u5927\u6a21\u578b\u751f\u6210\u7684\u4ee3\u7801\u8981\u5c0f\u5fc3\uff0c\u4e0d\u8981\u60f3\u5f53\u7136\u8ba4\u4e3a\u5927\u6a21\u578b\u751f\u6210\u7684\u4ee3\u7801\u5c31\u662f\u5b89\u5168\u53ef\u9760\u7684\u3002\u6700\u597d\u5728\u4e00\u4e2a\u6c99\u7bb1\u73af\u5883\u91cc\u8fd0\u884c\u5927\u6a21\u578b\u751f\u6210\u7684\u4ee3\u7801\uff0c\u907f\u514d\u5f15\u5165\u5b89\u5168\u6f0f\u6d1e\u3002<\/p>\n<h2 data-id=\"heading-3\">\u7b56\u75653\uff1a\u4f7f\u7528\u5927\u6a21\u578b\u7684\u51fd\u6570\u8c03\u7528\u529f\u80fd<\/h2>\n<p>Chat completions\u8fd9\u4e2aAPI\u5141\u8bb8\u5728\u8bf7\u6c42\u91cc\u4f20\u5165\u51fd\u6570\u5b9a\u4e49\uff0c\u5927\u6a21\u578b\u53ef\u4ee5\u6839\u636e\u7528\u6237\u63d0\u95ee\u6765\u5224\u65ad\u662f\u5426\u9700\u8981\u8c03\u7528\u4f60\u4f20\u5165\u7684\u51fd\u6570\u4ee5\u53ca\u751f\u6210\u5bf9\u5e94\u51fd\u6570\u7684\u5b9e\u53c2\uff0c\u5e76\u4e14\u8fd4\u56de\u7ed9\u7528\u6237\uff0c\u8fd9\u4e2a\u529f\u80fd\u5176\u5b9e\u5c31\u662ffunction call\u3002<\/p>\n<p>function call\u975e\u5e38\u5b9e\u7528\uff0c\u53ef\u4ee5\u9488\u5bf9\u51c6\u786e\u6027\u8981\u6c42\u6bd4\u8f83\u9ad8\u7684\u573a\u666f\u751f\u6210\u5c3d\u53ef\u80fd\u7cbe\u786e\u7684\u56de\u7b54\u3002<\/p>\n<p>\u6bd4\u5982\uff0c\u4f60\u95ee\u5927\u6a21\u578b\u4eca\u5929\u6df1\u5733\u7684\u6c14\u6e29\u662f\u591a\u5c11\uff0cGPT\u80af\u5b9a\u662f\u65e0\u6cd5\u77e5\u6653\u7684\uff0c\u56e0\u4e3a\u5b83\u7684\u8bad\u7ec3\u6570\u636e\u53ea\u622a\u6b62\u52302021\u5e749\u6708\u3002<\/p>\n<p>\u9488\u5bf9\u8fd9\u79cd\u573a\u666f\uff0c\u4f60\u53ef\u4ee5\u5199\u4e00\u4e2afunction\uff0c\u53c2\u6570\u662f\u65e5\u671f\u548c\u57ce\u5e02\uff0c\u8f93\u51fa\u7ed3\u679c\u662f\u6c14\u6e29\u3002<\/p>\n<p>\u4f60\u628a\u8fd9\u4e2afunction\u7684\u5b9a\u4e49\u4f20\u7ed9\u4f5c\u4e3a\u53c2\u6570\u4f20\u7ed9GPT\uff0cGPT\u4f1a\u6839\u636e\u4f60\u7684\u63d0\u95ee\u6765\u5224\u65ad\u662f\u5426\u9700\u8981\u8c03\u7528\u5230\u4f60\u63d0\u4f9b\u7684function\u3002<\/p>\n<p>\u5982\u679cGPT\u8ba4\u4e3a\u9700\u8981\u8c03\u7528\u5230\u4f60\u7684function\u624d\u80fd\u56de\u7b54\u63d0\u95ee\u7684\u8bdd\uff0c\u4f1a\u628a\u8fd9\u4e2afunction\u7684\u5b9e\u53c2\u8fd4\u56de\u7ed9\u4f60\uff0c\u5e76\u4e14\u544a\u8bc9\u4f60\u5177\u4f53\u8981\u8c03\u7528\u54ea\u4e2a\u7684function\u3002<\/p>\n<p>\u66f4\u591a\u7ec6\u8282\u53ef\u4ee5\u53c2\u8003\u6211\u4e4b\u524d\u5199\u7684\u6587\u7ae0\uff1a<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fmp.weixin.qq.com%2Fs%3F__biz%3DMzg2MTcwNjc1Mg%3D%3D%26mid%3D2247484810%26idx%3D1%26sn%3D9583a27435c000865544991e0c4801c7%26chksm%3Dce124ae5f965c3f322a847fcc5e89afe819f617d4ea77f1d54434d89cbf43f47e20139674dd1%26token%3D1738602078%26lang%3Dzh_CN%23rd\" target=\"_blank\" title=\"https:\/\/mp.weixin.qq.com\/s?__biz=Mzg2MTcwNjc1Mg==&amp;mid=2247484810&amp;idx=1&amp;sn=9583a27435c000865544991e0c4801c7&amp;chksm=ce124ae5f965c3f322a847fcc5e89afe819f617d4ea77f1d54434d89cbf43f47e20139674dd1&amp;token=1738602078&amp;lang=zh_CN#rd\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">GPT\u51fd\u6570\u8c03\u7528\u6559\u7a0b<\/a>\u3002<\/p>\n<h2 data-id=\"heading-4\">\u603b\u7ed3<\/h2>\n<p>\u672c\u6587\u662fChatGPT\u4f7f\u7528\u6700\u4f73\u5b9e\u8df5\u7cfb\u5217\u7b2c5\u7bc7 &#8211; \u4f7f\u7528\u5916\u90e8\u5de5\u5177\u3002<\/p>\n<p>\u8be6\u7ec6\u8bb2\u8ff0\u4e863\u4e2a\u7b56\u7565\uff0c\u4ee5\u4e0a\u7b56\u7565\u4e0d\u4ec5\u9002\u7528\u4e8eGPT\u6a21\u578b\uff0c\u8fd8\u9002\u7528\u4e8e\u5176\u5b83\u5927\u8bed\u8a00\u6a21\u578b\u3002<\/p>\n<p>\u6587\u7ae0\u548c\u793a\u4f8b\u4ee3\u7801\u5f00\u6e90\u5728GitHub: <a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fgithub.com%2Fjincheng9%2Fgpt-tutorial\" title=\"https:\/\/github.com\/jincheng9\/gpt-tutorial\" target=\"_blank\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">GPT\u5b9e\u6218\u6559\u7a0b<\/a>\uff0c\u53ef\u4ee5\u770b\u5230\u6240\u6709\u4e3b\u6d41\u7684\u5f00\u6e90LLM\u3002<\/p>\n<p>\u516c\u4f17\u53f7\uff1acoding\u8fdb\u9636\u3002\u5173\u6ce8\u83b7\u53d6\u6700\u65b0GPT\u5b9e\u6218\u5185\u5bb9\u3002<\/p>\n<p>\u4e2a\u4eba\u7f51\u7ad9\uff1a<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fjincheng9.github.io%2F\" title=\"https:\/\/jincheng9.github.io\/\" target=\"_blank\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">Jincheng&#8217;s Blog<\/a>\u3002<\/p>\n<p>\u77e5\u4e4e\uff1a<a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fwww.zhihu.com%2Fpeople%2Fthucuhkwuji\" title=\"https:\/\/www.zhihu.com\/people\/thucuhkwuji\" target=\"_blank\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">\u65e0\u5fcc<\/a>\u3002<\/p>\n<h2 data-id=\"heading-5\">References<\/h2>\n<ul>\n<li><a href=\"https:\/\/link.juejin.cn?target=https%3A%2F%2Fplatform.openai.com%2Fdocs%2Fguides%2Fgpt-best-practices\" target=\"_blank\" title=\"https:\/\/platform.openai.com\/docs\/guides\/gpt-best-practices\" ref=\"nofollow noopener noreferrer\" rel=\"noopener\">platform.openai.com\/docs\/guides\u2026<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>OpenAI\u5b98\u65b9\u8be6\u7ec6\u4ecb\u7ecd\u4e86ChatGPT\u4f7f\u7528\u7684\u6700\u4f73\u5b9e\u8df5\uff0c\u4e0d\u4ec5\u9002\u7528\u4e8e\u4f7f\u7528ChatGPT\u7f51\u7ad9\u8fdb\u884c\u76f4\u63a5\u5bf9\u8bdd\u7684\u7528\u6237\uff0c\u8fd8\u9002\u7528\u4e8e\u901a\u8fc7OpenAI API\u63a5\u5165\u7684\u5f00\u53d1\u8005\u3002 \u638c\u63e1\u4e86\u8fd9\u4e9b\u6700\u4f73\u5b9e\u8df5\uff0c\u5c31\u80fd\u66f4\u597d\u5730\u5229\u7528GP<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rank_math_title":"","rank_math_description":"","rank_math_focus_keyword":"","views":"3","footnotes":""},"categories":[3],"tags":[126,127,128,129,136],"collection":[],"class_list":["post-1333","post","type-post","status-publish","format-standard","hentry","category-fenlei2","tag-gpt","tag-ai","tag-128","tag-129","tag-136"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1333","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/comments?post=1333"}],"version-history":[{"count":0,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1333\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media?parent=1333"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/categories?post=1333"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/tags?post=1333"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/collection?post=1333"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}