{"id":6458,"date":"2023-03-17T08:40:02","date_gmt":"2023-03-17T00:40:02","guid":{"rendered":"https:\/\/i007.vip:15443\/wordpress\/?p=6458"},"modified":"2023-03-17T08:40:02","modified_gmt":"2023-03-17T00:40:02","slug":"%e5%a6%82%e4%bd%95%e7%94%a8-chatgpt-%e6%9e%84%e5%bb%ba%e4%bd%a0%e7%9a%84%e4%b8%93%e5%b1%9e%e7%9f%a5%e8%af%86%e9%97%ae%e7%ad%94%e6%9c%ba%e5%99%a8%e4%ba%ba","status":"publish","type":"post","link":"https:\/\/i007.cc\/wordpress\/archives\/6458","title":{"rendered":"\u5982\u4f55\u7528 ChatGPT \u6784\u5efa\u4f60\u7684\u4e13\u5c5e\u77e5\u8bc6\u95ee\u7b54\u673a\u5668\u4eba"},"content":{"rendered":"<header class=\"intro-header\">\n<div class=\"container\">\n<div class=\"row\">\n<div class=\"col-lg-8 col-lg-offset-2 col-md-10 col-md-offset-1\">\n<div class=\"post-heading\">\n<p><a href=\"https:\/\/blog.frankzhao.cn\/build_gpt_bot_for_doc\/\">\u539f\u6587\u5730\u5740<\/a><\/p>\n<p>\u00a0<\/p>\n<p><span class=\"meta\">2023-03-12<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/header>\n<article>\n<div class=\"container\">\n<div class=\"row\">\n<div class=\"col-lg-8 col-lg-offset-2 col-md-10 col-md-offset-1\">\n<h1 id=\"\u7f18\u8d77\">\u7f18\u8d77<\/h1>\n<p>\u4ece\u53bb\u5e74\u5e95\u5f00\u59cb ChatGPT \u706b\u7206\u51fa\u5708\uff0c\u5927\u5bb6\u90fd\u5728\u601d\u8003\u5982\u4f55\u5229\u7528 ChatGPT \u7684\u80fd\u529b\u6765\u6784\u5efa\u81ea\u5df1\u7684\u5e94\u7528\uff0c\u6211\u4e5f\u5728\u60f3\uff0c\u5982\u679c\u6709\u4e00\u4e2a\u673a\u5668\u4eba\u53ef\u4ee5\u5b66\u4e60\u4e00\u4e0b\u5f00\u6e90\u9879\u76ee\u6587\u6863\u4e2d\u7684\u4fe1\u606f\uff0c\u90a3\u662f\u5426\u5c31\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u4e2a\u5f00\u6e90\u9879\u76ee\u7684\u95ee\u7b54\u673a\u5668\u4eba\u4e86\u5462\uff1f<\/p>\n<p>\u8fd9\u4e2a\u60f3\u6cd5\u4e00\u76f4\u5728\u6211\u8111\u6d77\u91cc\uff0c\u76f4\u5230\u770b\u5230\u4e86\u6709\u4eba\u5df2\u7ecf\u8fdb\u884c\u4e86\u5b9e\u73b0\uff0c\u4e5f\u5c31\u662f\u00a0<a href=\"https:\/\/github.com\/arc53\/DocsGPT\" target=\"_blank\" rel=\"noopener\">DocsGPT<\/a>\uff0c\u8fd9\u4e2a\u9879\u76ee\u5f00\u6e90\u4e00\u4e2a\u6708\u5df2\u7ecf\u6536\u83b7\u4e86 3000+ star\u3002<\/p>\n<p>\u6211\u81ea\u5df1\u4e5f\u60f3\u8bd5\u4e00\u4e0b\uff0c\u4e8e\u662f\u6309\u7167\u6587\u6863\u4e5f\u90e8\u7f72\u4e86\u81ea\u5df1\u7684\u4e00\u4e2a\u5b9e\u4f8b\uff0c\u5e76\u4e14\u6dfb\u52a0\u4e86\u4e00\u90e8\u5206\u9879\u76ee\u7684\u6587\u6863\u8fdb\u53bb\u3002\u5927\u5bb6\u6709\u5174\u8da3\u7684\u53ef\u4ee5\u8bbf\u95ee<a href=\"http:\/\/oss-gpt.x-lab.info\/\" target=\"_blank\" rel=\"noopener\">OSS-GPT<\/a>\u00a0\u8fdb\u884c\u5c1d\u8bd5\uff0c\u770b\u770b\u6548\u679c\u5982\u4f55\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog.frankzhao.cn\/images\/build_gpt_bot_for_doc\/docsgpt_open_digger.png\" \/><\/p>\n<p>DocsGPT \u4e2d OpenDigger \u6587\u6863\u7684\u95ee\u7b54\u6548\u679c\u3002\u76ee\u524d\u652f\u6301\u7684\u9879\u76ee\u5305\u62ec\uff1aOpenDigger\uff0cOpenYurt\uff0cEgg.js\uff0cMidway.js\uff0cNebulaGraph\uff0cOceanBase\uff0cOpenSumi \u7b49\u3002<\/p>\n<h1 id=\"\u6df1\u7a76\">\u6df1\u7a76<\/h1>\n<p>\u6309\u7167 DocsGPT \u7684 Wiki \u8bad\u7ec3\u4e86\u51e0\u4e2a\u81ea\u5df1\u719f\u6089\u7684\u9879\u76ee\u6587\u6863\u540e\u4e5f\u53d1\u7ed9\u76f8\u5e94\u793e\u533a\u7684\u8d1f\u8d23\u4eba\u8bd5\u7528\u4e86\u4e00\u4e0b\uff0c\u53d1\u73b0\u6548\u679c\u5dee\u5f3a\u4eba\u610f\uff0c\u6709\u65f6\u5019\u8fd8\u662f\u6bd4\u8f83\u667a\u969c\u7684\uff0c\u4e8e\u662f\u60f3\u6df1\u5165\u63a2\u7d22\u4e00\u4e0b\u80cc\u540e\u5177\u4f53\u662f\u4ec0\u4e48\u539f\u7406\u3002<\/p>\n<h2 id=\"ChatGPT-\u7684\u4f7f\u7528\u65b9\u6cd5\">ChatGPT \u7684\u4f7f\u7528\u65b9\u6cd5<\/h2>\n<p>\u8bf4\u5230\u5177\u4f53\u7684\u5b9e\u73b0\u65b9\u6cd5\uff0c\u9996\u5148\u8981\u63d0\u5230 ChatGPT \u662f\u5982\u4f55\u4f7f\u7528\u4ee5\u53ca\u6709\u54ea\u4e9b\u9650\u5236\u7684\u3002<\/p>\n<p>ChatGPT \u63d0\u4f9b\u4e86\u975e\u5e38\u7b80\u5355\u7684 API \u63a5\u53e3\u53ef\u4ee5\u7528\u6765\u505a\u804a\u5929\u4efb\u52a1\uff0c\u5e95\u5c42\u4f7f\u7528\u7684\u662f gpt-3.5-turbo \u5927\u6a21\u578b\uff0c\u8fd9\u4e2a\u6a21\u578b\u4f7f\u7528\u7684\u8bad\u7ec3\u6570\u636e\u672c\u8eab\u662f\u8f83\u8001\u65e7\u7684\u4e92\u8054\u7f51\u4fe1\u606f\uff08\u622a\u6b62\u5230 2021.9\uff09\uff0c\u6240\u4ee5\u5b83\u5e76\u4e0d\u5177\u6709\u4e00\u4e9b\u8f83\u65b0\u7684\u4fe1\u606f\uff0c\u66f4\u4e0d\u8981\u63d0\u975e\u516c\u5f00\u7684\u4fe1\u606f\u4e86\u3002<\/p>\n<p>\u56e0\u6b64 ChatGPT \u63d0\u4f9b\u4e86\u901a\u8fc7 prompts \u6765\u8fdb\u884c\u63d0\u793a\u7684\u65b9\u6cd5\uff0c\u4e5f\u5c31\u662f\u5728\u53d1\u8d77\u8bf7\u6c42\u65f6\uff0c\u53ef\u4ee5\u5e26\u4e0a\u4e00\u6bb5\u4fe1\u606f\u3002\u7531\u4e8e\u662f\u4e00\u4e2a\u804a\u5929\u63a5\u53e3\uff0c\u56e0\u6b64\u53ef\u4ee5\u5305\u542b\u591a\u4e2a\u804a\u5929\u7684\u5185\u5bb9\u3002\u5176\u4e2d\u5305\u62ec\u6765\u81ea\u7cfb\u7edf\u7684\u63d0\u793a\uff1a\u4f8b\u5982\u7528\u6765\u63cf\u8ff0\u4e00\u4e0b ChatGPT \u73b0\u5728\u662f\u4ec0\u4e48\u89d2\u8272\uff0c\u5e94\u8be5\u5177\u6709\u4ec0\u4e48\u6837\u7684\u8bed\u8a00\u98ce\u683c\u7b49\u3002\u53e6\u5916\u8fd8\u53ef\u4ee5\u5305\u542b\u4e00\u4e9b\u7528\u6237\u7684\u5386\u53f2\u804a\u5929\u8bb0\u5f55\uff0c\u5c31\u50cf\u80cc\u666f\u77e5\u8bc6\u4e00\u7c7b\u7684\uff0c\u90fd\u53ef\u4ee5\u4f5c\u4e3a\u7528\u6237\u7684\u8f93\u5165\u5e26\u8fdb\u53bb\uff0c\u8fd9\u6837\u53ef\u4ee5\u4f7f\u5f97 ChatGPT \u5728\u672c\u6b21\u804a\u5929\u4e2d\u5177\u6709\u4e86\u9886\u57df\u77e5\u8bc6\u4e0e\u4e0a\u4e0b\u6587\u4fe1\u606f\u3002\u901a\u8fc7\u8fd9\u79cd prompts \u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5bf9 ChatGPT \u6709\u4e00\u5b9a\u7684\u5b9a\u5236\u80fd\u529b\uff0c\u5e76\u4f7f\u7528\u5176\u5927\u6a21\u578b\u7684\u81ea\u7136\u8bed\u8a00\u80fd\u529b\u6765\u7ec4\u7ec7\u56de\u7b54\u4fe1\u606f\u3002<\/p>\n<p>\u4ee5\u4e0a\u5c31\u662f\u76ee\u524d ChatGPT \u7c7b\u9886\u57df\u804a\u5929\u673a\u5668\u4eba\u7684\u57fa\u672c\u539f\u7406\u4e86\uff0c\u9664\u4e86 DocsGPT\uff0c\u8fd8\u6709\u6700\u8fd1\u521a\u521a\u5f00\u6e90\u7684\u9879\u76ee\u00a0<a href=\"https:\/\/github.com\/GanymedeNil\/document.ai\" target=\"_blank\" rel=\"noopener\">document.ai<\/a>\u00a0\u90fd\u4f7f\u7528\u4e86\u7c7b\u4f3c\u7684\u65b9\u6cd5\uff0c\u8fd9\u79cd\u65b9\u6cd5\u7684\u57fa\u672c\u6d41\u7a0b\u662f\uff1a<\/p>\n<ul>\n<li>\u5c06\u8f93\u5165\u7684\u6240\u6709\u6587\u6863\u6570\u636e\u8fdb\u884c\u5411\u91cf\u5316\u5e76\u5b58\u50a8\u8d77\u6765<\/li>\n<li>\u5f53\u804a\u5929\u65f6\uff0c\u5728\u5b58\u50a8\u7684\u5411\u91cf\u6570\u636e\u4e2d\u67e5\u8be2\u51fa\u4e0e\u5f53\u524d\u804a\u5929\u5185\u5bb9\u6700\u76f8\u8fd1\u7684\u4e00\u90e8\u5206\u6587\u6863\u5185\u5bb9<\/li>\n<li>\u5c06\u4e0a\u8ff0\u7684\u6587\u6863\u5185\u5bb9\u4f5c\u4e3a prompts \u7684\u4e00\u90e8\u5206\u540c\u804a\u5929\u5185\u5bb9\u4e00\u5e76\u53d1\u7ed9 ChatGPT \u8fdb\u884c\u95ee\u7b54<\/li>\n<\/ul>\n<p>\u8fd9\u4e5f\u5c31\u5b8c\u6210\u4e86\u5bf9\u7279\u5b9a\u9886\u57df\u4fe1\u606f\u7684\u6ce8\u5165\uff0c\u5982\u679c\u8981\u8fbe\u5230\u804a\u5929\u4e0a\u4e0b\u6587\u7684\u6548\u679c\uff0c\u8fd8\u53ef\u4ee5\u628a\u4e4b\u524d\u7684\u804a\u5929\u5185\u5bb9\u4e5f\u4e00\u5e76\u5e26\u4e0a\uff0c\u90a3\u4e48\u5c31\u53ef\u4ee5\u5e26\u6709\u4e0a\u4e0b\u6587\u4fe1\u606f\u4e86\u3002<\/p>\n<p>\u4e0b\u9762\u662f\u6765\u81ea document.ai \u9879\u76ee\u7684\u6d41\u7a0b\u56fe\uff1a<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog.frankzhao.cn\/images\/build_gpt_bot_for_doc\/document_ai.png\" \/><\/p>\n<h2 id=\"ChatGPT-\u7684\u9650\u5236\">ChatGPT \u7684\u9650\u5236<\/h2>\n<p>\u4f46\u5176\u5b9e\u8fd9\u79cd\u57fa\u4e8e\u9884\u68c0\u7d22\u548c prompts \u7684\u65b9\u6cd5\u9650\u5236\u4e5f\u5728\u8fd9\u91cc\u3002<\/p>\n<p>\u56e0\u4e3a\u5e95\u5c42\u7684 ChatGPT \u7684\u6a21\u578b\u662f\u4e00\u4e2a\u901a\u7528\u6a21\u578b\uff0c\u800c OpenAI \u5e76\u6ca1\u6709\u5f00\u653e gpt-3.5-turbo \u6a21\u578b fine-tune \u80fd\u529b\uff0c\u8fd9\u6837\u610f\u5473\u7740\u6211\u4eec\u65e0\u6cd5\u901a\u8fc7 fine-tune \u6765\u8bad\u7ec3\u4e00\u4e2a\u81ea\u5df1\u7684\u4e13\u5c5e\u6a21\u578b\uff0c\u53ea\u80fd\u901a\u8fc7 prompts \u6765\u505a\u63d0\u793a\u3002<\/p>\n<p>\u800c prompts \u672c\u8eab\u4e5f\u6709\u4e00\u5b9a\u7684\u9650\u5236\uff0cChatGPT \u7684\u63a5\u53e3\u6709 4096 \u7684 max_tokens \u7684\u9650\u5236\uff0c\u800c\u8fd9\u4e2a\u9650\u5236\u662f\u6307 prompts \u52a0\u56de\u7b54\u7684\u603b\u91cf\uff0c\u56e0\u6b64\u6211\u4eec\u65e0\u6cd5\u5728 prompts \u5e26\u8fc7\u591a\u7684\u4fe1\u606f\uff0c\u800c\u4e14\u5982\u679c\u8981\u5e26\u804a\u5929\u4e0a\u4e0b\u6587\u7684\u4fe1\u606f\u7684\u8bdd\uff0c\u9884\u68c0\u7d22\u7684\u6570\u636e\u91cf\u5c31\u4f1a\u66f4\u5c0f\u4e00\u4e9b\u3002\u8fd9\u4e5f\u5c31\u9650\u5236\u4e86 ChatGPT \u7684\u7cbe\u786e\u5ea6\u3002<\/p>\n<p>\u4ee5\u4e0b\u662f\u5173\u4e8e gpt-3.5-turbo \u6a21\u578b\u7684\u5b98\u7f51\u8bf4\u660e\uff0c\u5305\u542b\u4e86\u5bf9 token \u7684\u9650\u5236\u4ee5\u53ca\u6570\u636e\u96c6\u7684\u65f6\u95f4\u533a\u95f4\uff1a<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog.frankzhao.cn\/images\/build_gpt_bot_for_doc\/gpt_3_5_turbo_desc.png\" \/><\/p>\n<h1 id=\"\u5c1d\u8bd5\">\u5c1d\u8bd5<\/h1>\n<p>\u4e8e\u662f\u6211\u5728\u60f3\uff0c\u662f\u5426\u53ef\u4ee5\u4f7f\u7528\u80fd\u591f fine-tune \u7684\u6a21\u578b\u6765\u8bad\u7ec3\u81ea\u5df1\u7684\u4e13\u5c5e\u6a21\u578b\u5462\uff1f\u8fd9\u6837\u4e00\u6765\u5bf9\u8bdd\u65f6\u5c06\u4e0d\u518d\u9700\u8981\u505a\u80cc\u666f\u77e5\u8bc6\u7684 prompts\uff0c\u56e0\u4e3a\u80cc\u666f\u77e5\u8bc6\u5df2\u7ecf\u88ab\u878d\u5165\u4e86\u8fd9\u4e2a\u4e13\u5c5e\u6a21\u578b\uff0c\u6700\u591a\u5728\u591a\u8f6e\u804a\u5929\u4e2d\u5e26\u4e0a\u4e0a\u4e0b\u6587\u7684\u4fe1\u606f\uff0c\u53ef\u4ee5\u4f7f\u56de\u7b54\u66f4\u667a\u80fd\u3002<\/p>\n<p>\u7531\u4e8e gpt-3.5-turbo \u6a21\u578b\u5e76\u4e0d\u63d0\u4f9b fine-tune \u80fd\u529b\uff0c\u6211\u4eec\u53ef\u4ee5\u9009\u7528 GPT-3 \u7684\u6a21\u578b\uff0c\u5982 text-davinci-003 \u6765\u505a fine-tune\u3002\u5c31\u50cf OpenAI \u5728<a href=\"https:\/\/openai.com\/\" target=\"_blank\" rel=\"noopener\">\u5b98\u7f51\u4e3b\u9875<\/a>\u548c<a href=\"https:\/\/platform.openai.com\/docs\/models\/gpt-3-5\" target=\"_blank\" rel=\"noopener\">\u6587\u6863<\/a>\u4e2d\u4ecb\u7ecd\u7684\uff0c\u8fd9\u4e24\u4e2a\u6a21\u578b\u5728\u8868\u73b0\u4e0a\u662f\u975e\u5e38\u63a5\u8fd1\u7684\uff0c\u4f46 gpt-3.5-turbo \u6a21\u578b\u7684\u6210\u672c\u662f davinci \u6a21\u578b\u7684 10%\uff0c\u56e0\u6b64\u63a8\u8350\u5927\u5bb6\u4f7f\u7528\u524d\u8005\u3002<\/p>\n<p>\u90a3\u4e48\u63a5\u4e0b\u6765\u7684\u95ee\u9898\u662f\u6211\u4eec\u5982\u4f55\u4f7f\u7528\u81ea\u5df1\u7684\u6587\u6863\u6570\u636e\u6765\u8bad\u7ec3\u4e00\u4e2a\u4e13\u5c5e\u6a21\u578b\u5462\uff1f\u56e0\u4e3a davinci \u6a21\u578b\u7684 fine-tune \u65b9\u6cd5\u662f\u9700\u8981\u8f93\u5165\u4e00\u7ec4 prompt \u548c completion \u7684\u6587\u672c\u5bf9\uff0cprompt \u53ef\u4ee5\u662f\u4e00\u4e2a\u95ee\u9898\u6216\u53e5\u5b50\u586b\u7a7a\uff0c\u800c completion \u5c31\u662f\u5bf9\u95ee\u9898\u7684\u56de\u7b54\u6216\u8005\u8865\u5145\u586b\u7a7a\u3002\u6240\u4ee5\u6211\u4eec\u9700\u8981\u5c06\u9879\u76ee\u6587\u6863\u8f6c\u6362\u6210\u7c7b\u4f3c\u7684\u5f62\u5f0f\u3002<\/p>\n<p>\u6b64\u65f6\u6211\u4eec\u53c8\u53ef\u4ee5\u56de\u5230 ChatGPT \u4e86\uff0c\u56e0\u4e3a\u5b83\u6709\u975e\u5e38\u597d\u7684\u9605\u8bfb\u7406\u89e3\u80fd\u529b\uff0c\u5bf9\u4e8e\u8fd9\u7c7b\u6587\u672c\u4efb\u52a1\u7684\u5904\u7406\u6548\u679c\u5f88\u597d\u3002\u4e8e\u662f\u6211\u4eec\u53ef\u4ee5\u5148\u628a\u81ea\u5df1\u7684\u6587\u6863\u62c6\u5206\u6210\u4e00\u6bb5\u4e00\u6bb5\u7684\u4fe1\u606f\uff0c\u7136\u540e\u5582\u7ed9 ChatGPT \u8ba9\u5b83\u628a\u8fd9\u4e9b\u4fe1\u606f\u8f6c\u6362\u6210\u4e00\u4e2a\u4e2a\u7684\u4e8b\u5b9e\u95ee\u7b54\u5bf9\uff0c\u5e76\u4ee5 JSON \u5f62\u5f0f\u8fd4\u56de\u56de\u6765\u3002\u5f53\u6240\u6709\u6587\u6863\u90fd\u62c6\u5206\u597d\u4ee5\u540e\u5c31\u53d8\u6210\u4e86\u4e00\u5927\u6279\u7684\u57fa\u4e8e\u8be5\u9879\u76ee\u4e8b\u5b9e\u4fe1\u606f\u7684 prompts \u6570\u636e\u3002<\/p>\n<p>\u4e4b\u540e\u5c06\u8fd9\u4e9b prompts \u6570\u636e\u53d1\u9001\u7ed9 OpenAI \u7684\u63a5\u53e3\u57fa\u4e8e davinci \u7684\u57fa\u7840\u6a21\u578b\u8bad\u7ec3\u4e00\u4e2a\u4e13\u5c5e\u6a21\u578b\uff0c\u7b49\u6a21\u578b\u8bad\u7ec3\u597d\u4ee5\u540e\u5c31\u53ef\u4ee5\u6765\u5c1d\u8bd5\u548c\u81ea\u5df1\u7684\u4e13\u5c5e\u6a21\u578b\u804a\u5929\u5566\u3002<\/p>\n<p>\u4f7f\u7528\u00a0<a href=\"https:\/\/github.com\/labring\/sealos\/tree\/main\/docs\/4.0\/docs\" target=\"_blank\" rel=\"noopener\">Sealos<\/a>\u00a0\u7684\u5b98\u65b9\u6587\u6863\u4e2d\u7684 89 \u4e2a Markdown \u6587\u4ef6\u5f97\u5230\u4e86 1502 \u4e2a\u95ee\u7b54\u5bf9\uff0c\u5176\u4e2d\u7684\u4e00\u4e9b prompts \u793a\u4f8b\u5982\u4e0b\uff0c\u770b\u8d77\u6765\u8fd8\u662f\u975e\u5e38\u4e0d\u9519\u7684\uff1a<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog.frankzhao.cn\/images\/build_gpt_bot_for_doc\/sealos_prompts.png\" \/><\/p>\n<h1 id=\"\u5bf9\u6bd4\">\u5bf9\u6bd4<\/h1>\n<h2 id=\"\u6210\u672c\">\u6210\u672c<\/h2>\n<p>\u5176\u5b9e\u6700\u5927\u7684\u5bf9\u6bd4\u8fd8\u662f\u6210\u672c\u7684\u5bf9\u6bd4\uff0cChatGPT \u7531\u4e8e\u6ca1\u6709 fine-tune\uff0c\u6240\u4ee5\u6210\u672c\u5c31\u53ea\u6709\u6bcf\u6b21\u95ee\u7b54\u7684\u6210\u672c\uff0c\u4f46\u7531\u4e8e\u5927\u90e8\u5206\u65f6\u5019\u9700\u8981\u5e26\u5927\u91cf\u7684 prompts\uff0c\u5176\u5b9e\u9690\u6027\u7684\u6210\u672c\u662f\u633a\u9ad8\u7684\uff0c\u6211\u4eec\u7ecf\u5e38\u53ef\u4ee5\u770b\u5230\u4e00\u4e2a\u7b80\u77ed\u7684\u95ee\u9898\u4f1a\u5e26\u6709\u4e0a\u5343\u4e2a\u5b57\u7b26\u7684 prompts\u3002<\/p>\n<p>\u800c davinci \u7684 fine-tune \u6a21\u578b\u7684\u8bad\u7ec3\u6210\u672c\u662f\u8f83\u9ad8\u7684\uff0cSealos \u6587\u6863\u7684\u8bad\u7ec3\u4e00\u5171\u5411\u4e13\u5c5e\u6a21\u578b\u4e2d\u8f93\u5165\u4e86 25 \u4e07\u591a\u4e2a token\uff0c\u8bad\u7ec3\u65f6\u95f4 1 \u4e2a\u5c0f\u65f6\u5de6\u53f3\uff0c\u6210\u672c 8 \u7f8e\u5143\u3002\u4f46\u4e00\u65e6\u83b7\u5f97\u4e13\u5c5e\u6a21\u578b\u540e\uff0c\u540e\u7eed\u7684\u804a\u5929\u4e2d\u5c31\u4e0d\u518d\u9700\u8981\u505a\u9884\u68c0\u7d22\u548c\u80cc\u666f\u77e5\u8bc6\u7684 prompts \u4e86\uff0c\u53ef\u4ee5\u76f4\u63a5\u8fdb\u884c\u5173\u4e8e\u8be5\u9886\u57df\u7684\u77e5\u8bc6\u95ee\u7b54\u3002\u4e0d\u4ec5 token \u6d88\u8017\u4f1a\u53d8\u5c0f\uff0c\u800c\u4e14\u901f\u5ea6\u4e5f\u4f1a\u66f4\u5feb\u3002<\/p>\n<p>Sealos 4.0 \u6587\u6863\u7684\u4e13\u5c5e\u6a21\u578b\u662f davinci:ft-personal:sealos-doc-2023-03-11-13-00-02 \uff0c\u6709\u5174\u8da3\u7684\u540c\u5b66\u53ef\u4ee5\u8bd5\u8bd5\uff0c\u6211\u4e0d\u786e\u5b9a\u662f\u5426\u662f\u6240\u6709\u4eba\u90fd\u53ef\u4ee5\u4f7f\u7528\u7684\u3002<\/p>\n<h2 id=\"\u6548\u679c\">\u6548\u679c<\/h2>\n<p>\u8fd9\u91cc\u6211\u6bd4\u8f83\u4e86\u4e00\u4e0b DocsGPT \u548c\u7b80\u5355\u7684 fine-tune \u6a21\u578b\u5728 OpenDigger \u4e0b\u7684\u6548\u679c\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog.frankzhao.cn\/images\/build_gpt_bot_for_doc\/open_digger_gpt_3_5.png\" \/><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/blog.frankzhao.cn\/images\/build_gpt_bot_for_doc\/open_digger_gpt_3.png\" \/><\/p>\n<p>\u7b2c\u4e00\u5f20\u662f DocsGPT \u7684\u6548\u679c\uff0c\u7b2c\u4e8c\u5f20\u662f davinci fine-tune \u6a21\u578b\u7684\u6548\u679c\u3002\u53ef\u4ee5\u770b\u5230\u4e24\u4e2a\u8868\u73b0\u90fd\u8fd8\u4e0d\u9519\uff0c\u4f46\u4e5f\u5b58\u5728\u660e\u663e\u7684\u5dee\u5f02\uff1a\u57fa\u4e8e ChatGPT \u7684\u7ed3\u679c\u770b\u8d77\u6765\u66f4\u597d\u4e00\u4e9b\uff0c\u56e0\u4e3a\u5b83\u5177\u6709\u66f4\u597d\u7684\u8bed\u8a00\u80fd\u529b\uff0c\u751a\u81f3\u4f1a\u505a\u4e00\u4e9b\u5ef6\u4f38\u548c\u6269\u5c55\uff0c\u867d\u7136\u6709\u4e9b\u662f\u9519\u8bef\u7684\u3002\u800c\u4e13\u5c5e\u6a21\u578b\u7684\u56de\u7b54\u66f4\u52a0\u7b80\u6d01\uff0c\u800c\u4e14\u4e0e prompts \u6709\u8f83\u5927\u7684\u5173\u7cfb\uff0c\u56e0\u6b64\u5bf9\u7ec6\u8282\u7684\u638c\u63e1\u66f4\u591a\u4e00\u4e9b\u3002<\/p>\n<p>\u7531\u4e8e\u4e13\u5c5e\u6a21\u578b\u7684\u56de\u7b54\u4e0e prompts \u7684\u8d28\u91cf\u975e\u5e38\u76f8\u5173\uff0c\u6240\u4ee5\u66f4\u597d\u7684\u8bad\u7ec3\u6570\u636e\u4e00\u5b9a\u4f1a\u8ba9\u5176\u8868\u73b0\u66f4\u597d\u3002\u76ee\u524d\u53ea\u662f\u4f7f\u7528\u4e86\u6700\u7b80\u5355\u7684 ChatGPT\uff0c\u800c\u4e14\u7ed9\u5230\u7684\u4efb\u52a1\u53ef\u80fd\u4e0d\u8db3\u591f\u597d\uff0c\u6240\u4ee5\u7ed3\u679c\u8fd8\u6709\u63d0\u5347\u7684\u7a7a\u95f4\u3002\u4f46\u53ef\u4ee5\u770b\u5230 ChatGPT \u5bf9\u4e8e\u6587\u672c\u7684\u7406\u89e3\u8fd8\u662f\u5f88\u5f3a\u7684\uff0c\u5c24\u5176\u662f\u5bf9\u4e8e\u4e00\u4e9b\u7ed3\u6784\u5316\u7684\u6587\u672c\uff0c\u4f8b\u5982\u5bf9\u8868\u683c\u7684\u7406\u89e3\u662f\u5f88\u5f3a\u7684\u3002\u5982\u679c\u8fdb\u4e00\u6b65\u4f18\u5316\u7b2c\u4e00\u6b65\u6784\u9020 prompts \u6570\u636e\u7684\u903b\u8f91\uff0c\u518d\u52a0\u4e0a\u4e00\u4e9b\u4eba\u5de5\u7684\u8c03\u6574\u548c\u4fee\u6b63\uff0c\u6548\u679c\u5e94\u8be5\u4f1a\u66f4\u597d\u3002<\/p>\n<h1 id=\"\u672a\u6765\">\u672a\u6765<\/h1>\n<p>\u5176\u5b9e\u57fa\u4e8e\u5927\u6a21\u578b\u7684\u53ef\u80fd\u6027\u771f\u7684\u975e\u5e38\u591a\uff0c\u6709\u60f3\u8c61\u529b\u7684\u8bdd\u53ef\u505a\u7684\u4e8b\u60c5\u592a\u591a\u4e86\uff0c\u4f8b\u5982\u5c06\u81ea\u5df1\u7684\u601d\u60f3\u548c\u535a\u5ba2\u4f5c\u4e3a\u8f93\u5165\uff0c\u53ef\u4ee5\u8bad\u7ec3\u51fa\u4e00\u4e2a\u5305\u542b\u81ea\u5df1\u60f3\u6cd5\u7684\u6a21\u578b\uff0c\u7136\u540e\u7ed9\u4ed6\u4e00\u4e2a\u5b9a\u4f4d\u662f\u6a21\u4eff\u4eba\u8fdb\u884c\u4ea4\u6d41\uff0c\u90a3\u4e48\u5c31\u53ef\u4ee5\u5f97\u5230\u4e00\u4e2a\u4f60\u7684\u865a\u62df\u4eba\u4e86\uff0c\u5f88\u591a\u60c5\u51b5\u4e0b\uff0c\u5bf9\u4e8e\u9886\u57df KOL\uff0c\u5b8c\u5168\u53ef\u4ee5\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\u548c\u7c89\u4e1d\u4e92\u52a8\uff0c\u7c89\u4e1d\u53ef\u4ee5\u76f4\u63a5\u9488\u5bf9\u4ed6\u7684\u601d\u60f3\u6765\u8fdb\u884c\u63d0\u95ee\u548c\u4ea4\u6d41\u3002<\/p>\n<p>\u800c\u5bf9\u4e8e\u4e0d\u5584\u5199\u4f5c\u7684\u4eba\uff0c\u53ef\u4ee5\u628a\u81ea\u5df1\u7684\u60f3\u6cd5\u6309\u7167\u7b80\u5355\u7684\u95ee\u7b54\u5bf9\u7684\u5f62\u5f0f\u8f93\u51fa\u6765\u8bad\u7ec3\u81ea\u5df1\u7684\u4e13\u5c5e\u673a\u5668\u4eba\uff0c\u518d\u914d\u5408\u5927\u6a21\u578b\u672c\u8eab\u7684\u8bed\u8a00\u548c\u903b\u8f91\u80fd\u529b\u5e2e\u52a9\u81ea\u5df1\u64b0\u5199\u5305\u542b\u81ea\u5df1\u601d\u60f3\u7684\u6587\u7ae0\uff0c\u5e94\u8be5\u4e5f\u662f\u975e\u5e38\u4e0d\u9519\u7684\u601d\u8def\u3002<\/p>\n<p>\u5bf9\u4e8e\u4e00\u4e2a\u4ee5\u524d\u4ece\u6765\u6ca1\u81ea\u5df1\u505a\u8fc7\u673a\u5668\u5b66\u4e60\u8bad\u7ec3\u7684\u5165\u95e8\u8005\uff0c\u6700\u8fd1\u51e0\u5929\u8fd8\u662f\u975e\u5e38\u6d25\u6d25\u6709\u5473\u7684\u505a\u4e86\u4e00\u4e9b\u5c1d\u8bd5\uff0c\u800c\u4e14\u6548\u679c\u8fd8\u662f\u6bd4\u8f83\u60ca\u8273\u7684\uff0c\u4e5f\u6b22\u8fce\u6709\u5174\u8da3\u505a prompts engineering \u7684\u540c\u5b66\u4e00\u8d77\u4ea4\u6d41\u5fc3\u5f97\u3002<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n","protected":false},"excerpt":{"rendered":"<p>\u539f\u6587\u5730\u5740 \u00a0 2023-03-12 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