{"id":1272,"date":"2023-02-25T09:49:15","date_gmt":"2023-02-25T01:49:15","guid":{"rendered":"https:\/\/www.aqwu.net\/wp\/?p=1272"},"modified":"2023-03-02T13:08:30","modified_gmt":"2023-03-02T05:08:30","slug":"openai-api%ef%bc%9a4-%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.aqwu.net\/wp\/?p=1272","title":{"rendered":"OpenAI API \u5f00\u59cb\u4f7f\u7528\uff1a4.\u6a21\u578b"},"content":{"rendered":"\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/overview\"><\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/overview\">\u6982\u8ff0<\/a><\/h2>\n\n\n\n<p>OpenAI API \u7531\u4e00\u7cfb\u5217\u5177\u6709\u4e0d\u540c\u529f\u80fd\u548c\u4ef7\u4f4d\u7684\u6a21\u578b\u63d0\u4f9b\u652f\u6301\u3002\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7<a href=\"https:\/\/platform.openai.com\/docs\/guides\/fine-tuning\">\u5fae\u8c03<\/a>\u4e3a\u60a8\u7684\u7279\u5b9a\u7528\u4f8b\u81ea\u5b9a\u4e49\u6211\u4eec\u7684\u57fa\u672c\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u539f\u6587\u94fe\u63a5\uff1a<a href=\"https:\/\/platform.openai.com\/docs\/models\/overview\">Models &#8211; OpenAI API<\/a><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>\u6a21\u578b<\/th><th>\u63cf\u8ff0<\/th><\/tr><\/thead><tbody><tr><td><a href=\"https:\/\/platform.openai.com\/docs\/models\/gpt-3-5\">GPT-3.5<\/a><\/td><td>\u4e00\u7ec4\u6539\u8fdb GPT-3 \u7684\u6a21\u578b\uff0c\u53ef\u4ee5\u7406\u89e3\u5e76\u751f\u6210\u81ea\u7136\u8bed\u8a00\u6216\u4ee3\u7801<\/td><\/tr><tr><td><a href=\"https:\/\/platform.openai.com\/docs\/models\/dall-e\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/dall-e\">DALL\u00b7E<\/a><\/a><\/td><td>\u53ef\u4ee5\u5728\u7ed9\u5b9a\u81ea\u7136\u8bed\u8a00\u63d0\u793a\u7684\u60c5\u51b5\u4e0b\u751f\u6210\u548c\u7f16\u8f91\u56fe\u50cf\u7684\u6a21\u578b<\/td><\/tr><tr><td><a href=\"https:\/\/platform.openai.com\/docs\/models\/whisper\">Whisper<\/a><\/td><td>\u53ef\u4ee5\u5c06\u97f3\u9891\u8f6c\u6362\u4e3a\u6587\u672c\u7684\u6a21\u578b<\/td><\/tr><tr><td><a href=\"https:\/\/platform.openai.com\/docs\/models\/embeddings\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/embeddings\">Embeddings<\/a><\/a><\/td><td>\u4e00\u7ec4\u53ef\u4ee5\u5c06\u6587\u672c\u8f6c\u6362\u4e3a\u6570\u5b57\u5f62\u5f0f\u7684\u6a21\u578b<\/td><\/tr><tr><td><a href=\"https:\/\/platform.openai.com\/docs\/models\/codex\">Codex<\/a> Limited beta<\/td><td>\u4e00\u7ec4\u53ef\u4ee5\u7406\u89e3\u548c\u751f\u6210\u4ee3\u7801\u7684\u6a21\u578b\uff0c\u5305\u62ec\u5c06\u81ea\u7136\u8bed\u8a00\u8f6c\u6362\u4e3a\u4ee3\u7801<\/td><\/tr><tr><td><a href=\"https:\/\/platform.openai.com\/docs\/models\/moderation\">Moderation<\/a><\/td><td>\u53ef\u4ee5\u68c0\u6d4b\u6587\u672c\u662f\u5426\u654f\u611f\u6216\u4e0d\u5b89\u5168\u7684\u5fae\u8c03\u6a21\u578b<\/td><\/tr><tr><td><a href=\"https:\/\/platform.openai.com\/docs\/models\/gpt-3\">GPT-3<\/a><\/td><td>\u4e00\u7ec4\u53ef\u4ee5\u7406\u89e3\u548c\u751f\u6210\u81ea\u7136\u8bed\u8a00\u7684\u6a21\u578b<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\u6211\u4eec\u8fd8\u53d1\u5e03\u4e86\u5f00\u6e90\u6a21\u578b\uff0c\u5305\u62ec<a href=\"https:\/\/github.com\/openai\/point-e\" target=\"_blank\" rel=\"noreferrer noopener\">Point-E<\/a>\uff0c<a href=\"https:\/\/github.com\/openai\/whisper\" target=\"_blank\" rel=\"noreferrer noopener\">Whisper<\/a>\uff0c<a href=\"https:\/\/github.com\/openai\/jukebox\" target=\"_blank\" rel=\"noreferrer noopener\">Jukebox<\/a>\u548c<a href=\"https:\/\/github.com\/openai\/CLIP\" target=\"_blank\" rel=\"noreferrer noopener\">CLIP\u3002<\/a><\/p>\n\n\n\n<p>\u8bbf\u95ee\u6211\u4eec\u7684<a href=\"https:\/\/platform.openai.com\/docs\/model-index-for-researchers\">\u6a21\u578b\u7d22\u5f15\uff0c\u4f9b\u7814\u7a76\u4eba\u5458<\/a>\u4e86\u89e3 \u66f4\u591a\u5173\u4e8e\u6211\u4eec\u7684\u7814\u7a76\u8bba\u6587\u4e2d\u4ecb\u7ecd\u4e86\u54ea\u4e9b\u6a21\u578b\u4ee5\u53ca\u5dee\u5f02 \u5728InstructGPT\u548cGPT-3.5\u7b49\u6a21\u578b\u7cfb\u5217\u4e4b\u95f4\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/gpt-3\"><\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/gpt-3\">GPT-3.5<\/a><\/h2>\n\n\n\n<p>GPT-3.5 \u6a21\u578b\u53ef\u4ee5\u7406\u89e3\u548c\u751f\u6210\u81ea\u7136\u8bed\u8a00\u6216\u4ee3\u7801\u3002\u6211\u4eec\u529f\u80fd\u6700\u5f3a\u5927\u3001\u6700\u5177\u6210\u672c\u6548\u76ca\u7684\u6a21\u578b\u662f<code>gpt-3.5-turbo<\/code> \u9488\u5bf9\u804a\u5929\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u4f46\u4e5f\u9002\u7528\u4e8e\u4f20\u7edf\u7684\u5b8c\u6210\u4efb\u52a1\u3002<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>LATEST MODEL<\/th><th>DESCRIPTION<\/th><th>MAX REQUEST<\/th><th>TRAINING DATA<\/th><\/tr><\/thead><tbody><tr><td>gpt-3.5-turbo<\/td><td>Most capable GPT-3.5 model and optimized for chat at 1\/10th the cost of&nbsp;<code>text-davinci-003<\/code>. Will be updated with our latest model iteration.<\/td><td>4,096 tokens<\/td><td>Up to Sep 2021<\/td><\/tr><tr><td>gpt-3.5-turbo-0301<\/td><td>Snapshot of&nbsp;<code>gpt-3.5-turbo<\/code>&nbsp;from March 1st 2023. Unlike&nbsp;<code>gpt-3.5-turbo<\/code>, this model will not receive updates, and will only be supported for a three month period ending on June 1st 2023.<\/td><td>4,096 tokens<\/td><td>Up to Sep 2021<\/td><\/tr><tr><td>text-davinci-003<\/td><td>Can do any language task with better quality, longer output, and consistent instruction-following than the curie, babbage, or ada models. Also supports&nbsp;<a href=\"https:\/\/platform.openai.com\/docs\/guides\/completion\/inserting-text\">inserting<\/a>&nbsp;completions within text.<\/td><td>4,000 tokens<\/td><td>Up to Jun 2021<\/td><\/tr><tr><td>text-davinci-002<\/td><td>Similar capabilities to&nbsp;<code>text-davinci-003<\/code>&nbsp;but trained with supervised fine-tuning instead of reinforcement learning<\/td><td>4,000 tokens<\/td><td>Up to Jun 2021<\/td><\/tr><tr><td>code-davinci-002<\/td><td>Optimized for code-completion tasks<\/td><td>4,000 tokens<\/td><td>Up to Jun 2021<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\u867d\u7136Davinci(\u8fbe\u82ac\u5947)\u901a\u5e38\u662f\u6700\u6709\u80fd\u529b\u7684\uff0c\u4f46\u5176\u4ed6\u578b\u53f7\u53ef\u4ee5\u975e\u5e38\u51fa\u8272\u5730\u6267\u884c\u67d0\u4e9b\u4efb\u52a1\uff0c\u5177\u6709\u663e\u7740\u7684\u901f\u5ea6\u6216<a rel=\"noreferrer noopener\" href=\"https:\/\/openai.com\/api\/pricing\" target=\"_blank\">\u6210\u672c\u4f18\u52bf<\/a>\u3002\u4f8b\u5982\uff0cCurie\uff08\u5c45\u91cc\uff09\u53ef\u4ee5\u6267\u884c\u8bb8\u591a\u4e0eDavinci(\u8fbe\u82ac\u5947)\u76f8\u540c\u7684\u4efb\u52a1\uff0c\u4f46\u901f\u5ea6\u66f4\u5feb\uff0c\u6210\u672c\u4ec5\u4e3aDavinci(\u8fbe\u82ac\u5947)\u76841\/10\u3002<\/p>\n\n\n\n<p>\u6211\u4eec\u5efa\u8bae\u5728\u5b9e\u9a8c\u65f6\u4f7f\u7528Davinci(\u8fbe\u82ac\u5947)\uff0c\u56e0\u4e3a\u5b83\u4f1a\u4ea7\u751f\u6700\u597d\u7684\u7ed3\u679c\u3002\u4e00\u65e6\u4f60\u5f00\u59cb\u5de5\u4f5c\uff0c\u6211\u4eec\u9f13\u52b1\u5c1d\u8bd5\u5176\u4ed6\u6a21\u578b\uff0c\u770b\u770b\u4f60\u662f\u5426\u80fd\u4ee5\u66f4\u4f4e\u7684\u5ef6\u8fdf\u83b7\u5f97\u76f8\u540c\u7684\u7ed3\u679c\u3002\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7\u5728\u7279\u5b9a\u4efb\u52a1\u4e0a<a href=\"https:\/\/platform.openai.com\/docs\/guides\/fine-tuning\">\u5fae\u8c03<\/a>\u5176\u4ed6\u6a21\u578b\u6765\u63d0\u9ad8\u5b83\u4eec\u7684\u6027\u80fd\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/feature-specific-models\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/feature-specific-models\">\u7279\u5b9a\u4e8e\u529f\u80fd\u7684\u6a21\u578b<\/a><\/h3>\n\n\n\n<p>\u4e3b\u8981\u7684 GPT-3 \u6a21\u578b\u65e8\u5728\u4e0e<a href=\"https:\/\/platform.openai.com\/docs\/guides\/completion\">\u6587\u672c\u5b8c\u6210<\/a>\u7aef\u70b9\u4e00\u8d77\u4f7f\u7528\u3002\u6211\u4eec\u8fd8\u63d0\u4f9b\u4e13\u95e8\u7528\u4e8e\u5176\u4ed6\u7aef\u70b9\u7684\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u65e7\u7248\u672c\u7684 GPT-3 \u578b\u53f7\u63d0\u4f9b\u548c<code>davinci\uff0ccurie\uff0cbabbage\uff0cada<\/code>\u8fd9\u4e9b\u65e8\u5728\u4e0e\u6211\u4eec\u7684<a href=\"https:\/\/platform.openai.com\/docs\/guides\/fine-tuning\">\u5fae\u8c03<\/a>\u7aef\u70b9\u4e00\u8d77\u4f7f\u7528\u3002<a rel=\"noreferrer noopener\" href=\"https:\/\/help.openai.com\/en\/articles\/5832130\" target=\"_blank\">\u4e86\u89e3\u66f4\u591a<\/a>\u3002<\/p>\n\n\n\n<p>\u6211\u4eec\u7528\u4e8e<a href=\"https:\/\/platform.openai.com\/docs\/guides\/embeddings\">\u521b\u5efa\u5d4c\u5165<\/a>\u548c<a href=\"https:\/\/platform.openai.com\/docs\/guides\/completion\/editing-text\">\u7f16\u8f91\u6587\u672c<\/a>\u7684\u7aef\u70b9\u4f7f\u7528\u81ea\u5df1\u7684\u4e13\u7528\u6a21\u578b\u96c6\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/davinci\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/davinci\">Davinci(\u8fbe\u82ac\u5947)<\/a><\/h3>\n\n\n\n<p>Davinci\u662f\u6700\u6709\u80fd\u529b\u7684\u6a21\u578b\u7cfb\u5217\uff0c\u53ef\u4ee5\u6267\u884c\u5176\u4ed6\u6a21\u578b\u53ef\u4ee5\u6267\u884c\u7684\u4efb\u4f55\u4efb\u52a1\uff0c\u800c\u4e14\u901a\u5e38\u53ea\u9700\u8f83\u5c11\u7684\u6307\u4ee4\u3002\u5bf9\u4e8e\u9700\u8981\u5bf9\u5185\u5bb9\u6709\u5145\u5206\u7406\u89e3\u7684\u5e94\u7528\u7a0b\u5e8f\uff0c\u4f8b\u5982\u9488\u5bf9\u7279\u5b9a\u53d7\u4f17\u7684\u6458\u8981\u548c\u521b\u610f\u5185\u5bb9\u751f\u6210\uff0cDavinci \u5c06\u4ea7\u751f\u6700\u4f73\u7ed3\u679c\u3002\u8fd9\u4e9b\u589e\u52a0\u7684\u529f\u80fd\u9700\u8981\u66f4\u591a\u7684\u8ba1\u7b97\u8d44\u6e90\uff0c\u56e0\u6b64 Davinci \u6bcf\u6b21 API \u8c03\u7528\u7684\u6210\u672c\u66f4\u9ad8\uff0c\u5e76\u4e14\u4e0d\u5982\u5176\u4ed6\u6a21\u578b\u5feb\u3002<\/p>\n\n\n\n<p>\u8fbe\u82ac\u5947\u7684\u53e6\u4e00\u4e2a\u4eae\u70b9\u662f\u7406\u89e3\u6587\u672c\u7684\u610f\u56fe\u3002\u8fbe\u82ac\u5947\u76f8\u5f53\u64c5\u957f\u89e3\u51b3\u591a\u79cd\u903b\u8f91\u95ee\u9898\uff0c\u89e3\u91ca\u4eba\u7269\u7684\u52a8\u673a\u3002\u8fbe\u82ac\u5947\u5df2\u7ecf\u80fd\u591f\u89e3\u51b3\u4e00\u4e9b\u6d89\u53ca\u56e0\u679c\u5173\u7cfb\u7684\u6700\u5177\u6311\u6218\u6027\u7684\u4eba\u5de5\u667a\u80fd\u95ee\u9898\u3002<\/p>\n\n\n\n<p>\u64c5\u957f\uff1a<strong>\u590d\u6742\u7684\u610f\u56fe(<strong>Complex intent<\/strong><\/strong>)<strong>\uff0c\u56e0\u679c\u5173\u7cfb(<strong>cause and effect<\/strong><\/strong>)<strong>\uff0c\u89c2\u4f17\u603b\u7ed3<\/strong>(<strong>summarization for audience<\/strong>)<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/curie\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/curie\">Curie(\u5c45\u91cc)<\/a><\/h3>\n\n\n\n<p>\u5c45\u91cc\u975e\u5e38\u5f3a\u5927\uff0c\u4f46\u901f\u5ea6\u975e\u5e38\u5feb\u3002\u867d\u7136\u8fbe\u82ac\u5947\u5728\u5206\u6790\u590d\u6742\u6587\u672c\u65b9\u9762\u66f4\u5f3a\uff0c\u4f46\u5c45\u91cc\u975e\u5e38\u6709\u80fd\u529b\u5b8c\u6210\u8bb8\u591a\u7ec6\u5fae\u7684\u4efb\u52a1\uff0c\u5982\u60c5\u611f\u5206\u7c7b\u548c\u603b\u7ed3\u3002\u5c45\u91cc\u8fd8\u975e\u5e38\u64c5\u957f\u56de\u7b54\u95ee\u9898\u548c\u6267\u884c\u95ee\u7b54\uff0c\u5e76\u4f5c\u4e3a\u4e00\u822c\u670d\u52a1\u804a\u5929\u673a\u5668\u4eba\u3002<\/p>\n\n\n\n<p>\u64c5\u957f\uff1a<strong>\u8bed\u8a00\u7ffb\u8bd1(<strong>Language translation<\/strong><\/strong>)<strong>\u3001\u590d\u6742\u5206\u7c7b(<strong>complex classification<\/strong><\/strong>)<strong>\u3001\u6587\u672c\u60c5\u611f(<strong>text sentiment<\/strong><\/strong>)<strong>\u3001\u603b\u7ed3<\/strong>(<strong>summarization<\/strong>)<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/babbage\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/babbage\"><code>Babbage<\/code>(\u5df4\u8d1d\u5947)<\/a><\/h3>\n\n\n\n<p>\u5df4\u8d1d\u5947\u53ef\u4ee5\u6267\u884c\u7b80\u5355\u7684\u4efb\u52a1\uff0c\u6bd4\u5982\u7b80\u5355\u7684\u5206\u7c7b\u3002\u5728\u8bed\u4e49\u641c\u7d22\u6392\u540d\u6587\u6863\u4e0e\u641c\u7d22\u67e5\u8be2\u7684\u5339\u914d\u7a0b\u5ea6\u65b9\u9762\uff0c\u5b83\u4e5f\u975e\u5e38\u6709\u80fd\u529b\u3002<\/p>\n\n\n\n<p>\u64c5\u957f\uff1a<strong>\u4e2d\u7b49\u5206\u7c7b(<strong>Moderate classification<\/strong><\/strong>)<strong>\u3001\u8bed\u4e49\u641c\u7d22\u5206\u7c7b<\/strong>(<strong>semantic search classification<\/strong>)<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/ada\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/ada\">Ada<\/a>(<a href=\"https:\/\/platform.openai.com\/docs\/models\/ada\">\u963f\u8fbe<\/a>)<\/h3>\n\n\n\n<p>Ada \u901a\u5e38\u662f\u6700\u5feb\u7684\u6a21\u578b\uff0c\u53ef\u4ee5\u6267\u884c\u89e3\u6790\u6587\u672c\u3001\u5730\u5740\u66f4\u6b63\u548c\u67d0\u4e9b\u4e0d\u9700\u8981\u592a\u591a\u7ec6\u5fae\u5dee\u522b\u7684\u5206\u7c7b\u4efb\u52a1\u7b49\u4efb\u52a1\u3002Ada \u7684\u6027\u80fd\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7\u63d0\u4f9b\u66f4\u591a\u4e0a\u4e0b\u6587\u6765\u63d0\u9ad8\u3002<\/p>\n\n\n\n<p>\u64c5\u957f\uff1a<strong>\u89e3\u6790\u6587\u672c(<strong>Parsing text<\/strong><\/strong>)<strong>\u3001\u7b80\u5355\u5206\u7c7b(<strong>simple classification<\/strong><\/strong>)<strong>\u3001\u5730\u5740\u66f4\u6b63(<strong>address correction<\/strong><\/strong>)<strong>\u3001\u5173\u952e\u8bcd<\/strong>(<strong>keywords<\/strong>)<\/p>\n\n\n\n<p><em>\u6ce8\u610f\uff1a\u7531\u50cfAda\u8fd9\u6837\u7684\u66f4\u5feb\u6a21\u578b\u6267\u884c\u7684\u4efb\u4f55\u4efb\u52a1\u90fd\u53ef\u4ee5\u7531\u50cfCurie\u6216Davinci\u8fd9\u6837\u7684\u66f4\u5f3a\u5927\u7684\u6a21\u578b\u6267\u884c\u3002<\/em><\/p>\n\n\n\n<p>OpenAI\u6a21\u578b\u662f\u975e\u786e\u5b9a\u6027\u7684\uff0c\u8fd9\u610f\u5473\u7740\u76f8\u540c\u7684\u8f93\u5165\u53ef\u4ee5\u4ea7\u751f\u4e0d\u540c\u7684\u8f93\u51fa\u3002\u5c06<a href=\"https:\/\/platform.openai.com\/docs\/api-reference\/completions\/create#completions\/create-temperature\">\u6e29\u5ea6<\/a>(&nbsp;<a href=\"https:\/\/platform.openai.com\/docs\/api-reference\/completions\/create#completions\/create-temperature\">temperature<\/a>)\u8bbe\u7f6e\u4e3a 0 \u5c06\u4f7f\u8f93\u51fa\u5927\u90e8\u5206\u5177\u6709\u786e\u5b9a\u6027\uff0c\u4f46\u53ef\u80fd\u4f1a\u4fdd\u7559\u5c11\u91cf\u53ef\u53d8\u6027\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/finding-the-right-model\"><\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/finding-the-right-model\">\u5bfb\u627e\u5408\u9002\u7684\u578b\u53f7<\/a><\/h2>\n\n\n\n<p>\u5c1d\u8bd5Davinci\u662f\u4e86\u89e3API\u80fd\u591f\u505a\u4ec0\u4e48\u7684\u597d\u65b9\u6cd5\u3002\u5728\u4f60\u5bf9\u4f60\u60f3\u8981\u5b8c\u6210\u7684\u4e8b\u60c5\u6709\u4e86\u60f3\u6cd5\u4e4b\u540e\uff0c\u5982\u679c\u4f60\u4e0d\u5173\u5fc3\u6210\u672c\u548c\u901f\u5ea6\uff0c\u4f60\u53ef\u4ee5\u7ee7\u7eed\u4f7f\u7528Davinci\uff0c\u6216\u8005\u8f6c\u5411\u5c45\u91cc\u6216\u5176\u4ed6\u6a21\u578b\u5e76\u5c1d\u8bd5\u56f4\u7ed5\u5176\u529f\u80fd\u8fdb\u884c\u4f18\u5316\u3002<\/p>\n\n\n\n<p>\u60a8\u53ef\u4ee5\u4f7f\u7528&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/gpttools.com\/comparisontool\" target=\"_blank\">GPT \u6bd4\u8f83\u5de5\u5177<\/a>\uff0c\u8be5\u5de5\u5177\u5141\u8bb8\u60a8\u5e76\u6392\u8fd0\u884c\u4e0d\u540c\u7684\u6a21\u578b\u6765\u6bd4\u8f83\u8f93\u51fa\u3001\u8bbe\u7f6e\u548c\u54cd\u5e94\u65f6\u95f4\uff0c\u7136\u540e\u5c06\u6570\u636e\u4e0b\u8f7d\u5230 Excel \u7535\u5b50\u8868\u683c\u4e2d<code>.xls<\/code>\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/consider-semantic-search\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/consider-semantic-search\">\u8003\u8651\u8bed\u4e49\u641c\u7d22<\/a><\/h3>\n\n\n\n<p>\u5bf9\u4e8e\u6d89\u53ca\u5206\u7c7b\u7684\u4efb\u52a1\uff0c\u60a8\u5c1d\u8bd5\u67e5\u627e\u6700\u9002\u5408\u6240\u9009\u6587\u672c\u7684\u6807\u7b7e\uff0c\u901a\u5e38\u53ef\u4ee5\u4f7f\u7528\u8bed\u4e49\u641c\u7d22\u4ece\u4e0d\u540c\u7684\u6a21\u578b\u4e2d\u83b7\u5f97\u51fa\u8272\u7684\u6027\u80fd\u3002\u8bed\u4e49\u641c\u7d22\u4f7f\u7528\u6a21\u578b\u4e3a\u4e0d\u540c\u7684\u6587\u672c\u5757\u63d0\u4f9b\u5206\u6570\uff0c\u4ee5\u4e86\u89e3\u5b83\u4eec\u4e0e\u67e5\u8be2\u7684\u7d27\u5bc6\u7a0b\u5ea6\u3002\u901a\u8fc7\u5c06\u6a21\u578b\u7684\u8303\u56f4\u96c6\u4e2d\u5728\u8bc4\u4f30\u67e5\u8be2\u4e0e\u4e0d\u540c\u6587\u672c\u5757\u7684\u5173\u7cfb\u4e0a\uff0c\u5728\u8bb8\u591a\u60c5\u51b5\u4e0b\uff0c\u4e0e\u4f5c\u4e3a\u751f\u6210\u4efb\u52a1\u5448\u73b0\u7ed9\u5b83\u4eec\u7684\u4efb\u52a1\u76f8\u6bd4\uff0c\u66f4\u5feb\u7684\u6a21\u578b\u53ef\u4ee5\u8d85\u8d8a\u81ea\u8eab\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/understanding-curie-s-capabilities\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/understanding-curie-s-capabilities\">\u4e86\u89e3Curie(\u5c45\u91cc)\u7684\u80fd\u529b<\/a><\/h3>\n\n\n\n<p>\u867d\u7136Davinci\u5728\u7406\u89e3\u6587\u672c\u548c\u751f\u6210\u66f4\u7ec6\u5fae\u7684\u56de\u5e94\u65b9\u9762\u66f4\u6709\u80fd\u529b\uff0c\u6bd4\u5982\u4e3a\u5b69\u5b50\u603b\u7ed3\u6216\u6a21\u4eff\u4eba\u7c7b\u8bf4\u8bdd\u6a21\u5f0f\uff0c\u4f46<code>Curie<\/code>\u975e\u5e38\u6709\u80fd\u529b\u5206\u6790\u6587\u672c\u3001\u56de\u7b54\u76f4\u63a5\u95ee\u9898\u5e76\u63d0\u4f9b\u5173\u952e\u70b9\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/key-points\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/key-points\">\u8981\u70b9<\/a><\/h4>\n\n\n\n<p>\u4f8b\u5982\uff0c<code>Curie<\/code>\u53ef\u4ee5\u4f7f\u7528\u7ef4\u57fa\u767e\u79d1\u6761\u76ee\u6765\u5217\u51fa\u6587\u672c\u4e2d\u7684\u5173\u952e\u70b9\u3002<a href=\"https:\/\/platform.openai.com\/playground\/p\/Z8oqEmAXGhdlDzk6ywQmbZSl?model=curie-instruct-beta-v2\">\u67e5\u770b\u793a\u4f8b<\/a>\u3002<\/p>\n\n\n\n<p>\u6b64\u793a\u4f8b\u8bf4\u660e Curie \u975e\u5e38\u80fd\u591f\u4ece\u6587\u672c\u4e2d\u83b7\u53d6\u91cd\u8981\u4fe1\u606f\uff0c\u5e76\u4e14\u5bf9\u4e8e\u5404\u79cd\u5e94\u7528\u7a0b\u5e8f\u975e\u5e38\u6709\u7528\uff0c\u5305\u62ec\uff1a<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u5c06\u6280\u672f\u6587\u6863\u8f6c\u5316\u4e3a\u8981\u70b9<\/li>\n\n\n\n<li>\u4ece\u7535\u5b50\u90ae\u4ef6\u4e2d\u63d0\u53d6\u91cd\u8981\u4fe1\u606f<\/li>\n\n\n\n<li>\u4ece\u5ba2\u6237\u670d\u52a1\u6c9f\u901a\u4e2d\u83b7\u53d6\u8981\u70b9<\/li>\n<\/ul>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/report-generation\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/report-generation\">\u62a5\u544a\u751f\u6210<\/a><\/h4>\n\n\n\n<p>\u901a\u8fc7\u4f7f\u7528<code>Curie<\/code>\uff08\u6216Davinci\uff09\u5206\u6790\u6587\u672c\u548c\u56de\u7b54\u7279\u5b9a\u95ee\u9898\uff0c\u60a8\u53ef\u4ee5\u8fdb\u4e00\u6b65\u6269\u5c55\u5173\u952e\u70b9\u63d0\u53d6\u3002\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 Curie \u9605\u8bfb\u6765\u81ea\u5ba2\u6237\u7684\u7535\u5b50\u90ae\u4ef6\uff0c\u5e76\u63d0\u4f9b\u9884\u8bbe\u95ee\u9898\u5217\u8868\u7684\u7b54\u6848\u3002<a href=\"https:\/\/platform.openai.com\/playground\/p\/oR0pHP6YW9Vv4Aocsmk6zKCT?model=curie-instruct-beta-v2\">\u67e5\u770b\u793a\u4f8b<\/a>\u3002<\/p>\n\n\n\n<p>\u503c\u5f97\u63d0\u8bf7\u6ce8\u610f\u6b64\u63d0\u793a\u4e2d\u53d1\u751f\u7684\u4e24\u4ef6\u4e8b\uff0c\u5b83\u4eec\u53ef\u4ee5\u5e2e\u52a9\u6539\u8fdb\u6574\u4f53\u63d0\u793a\u8bbe\u8ba1\uff1a<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/1-use-a-low-temperature-when-extracting-data\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/1-use-a-low-temperature-when-extracting-data\">1.\u63d0\u53d6\u6570\u636e\u65f6\u4f7f\u7528low temperature<\/a><\/h4>\n\n\n\n<p>\u6211\u4eec\u5c06<a href=\"https:\/\/platform.openai.com\/docs\/models\/1-use-a-low-temperature-when-extracting-data\">temperature<\/a>\u8bbe\u7f6e\u5f97\u8f83\u4f4e\uff0c\u56e0\u4e3a\u6211\u4eec\u6b63\u5728\u5bfb\u627e\u5ba2\u6237\u8bc4\u8bba\u63d0\u4f9b\u7684\u95ee\u9898\u7684\u76f4\u63a5\u7b54\u6848\u3002\u6211\u4eec\u5e76\u4e0d\u662f\u8981\u6c42\u6a21\u578b\u5c1d\u8bd5\u5728\u56de\u7b54\u65f6\u5177\u6709\u521b\u9020\u6027 &#8211; \u7279\u522b\u662f\u5bf9\u4e8e\u662f\u6216\u5426\u7684\u95ee\u9898\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/2-use-one-api-call-to-answer-multiple-questions\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/2-use-one-api-call-to-answer-multiple-questions\">2. \u4f7f\u7528\u4e00\u4e2a API \u8c03\u7528\u56de\u7b54\u591a\u4e2a\u95ee\u9898<\/a><\/h4>\n\n\n\n<p>\u6211\u4eec\u80fd\u591f\u901a\u8fc7\u63d0\u4f9b\u95ee\u9898\u5217\u8868\uff0c\u7136\u540e\u7528\u6570\u5b57 1 \u542f\u52a8\u63d0\u793a\u4ee5\u6307\u793a\u7b54\u6848\u5e94\u4e0e\u5b83\u4e4b\u524d\u7684\u95ee\u9898\u76f8\u5173\uff0c\u4ece\u800c\u83b7\u5f97\u4e00\u4e2a API \u8c03\u7528\u6765\u56de\u7b54\u56db\u4e2a\u95ee\u9898\uff08\u53ef\u80fd\u66f4\u591a\uff09\u3002<\/p>\n\n\n\n<p>\u901a\u8fc7\u63d0\u51fa\u56db\u4e2a\u95ee\u9898\uff0c\u6211\u4eec\u5c06 API \u8c03\u7528\u7684\u6548\u7387\u63d0\u9ad8\u4e86 4 \u500d\u3002\u5982\u679c\u6b64\u4efb\u52a1\u4ee5\u524d\u7531Davinci\u5b8c\u6210\uff0c\u6bcf\u4e2a\u95ee\u9898\u8c03\u7528\u4e00\u4e2a API\uff0c\u90a3\u4e48\u4f7f\u7528 Curie \u5e76\u4ee5\u8fd9\u79cd\u65b9\u5f0f\u4f18\u5316\u63d0\u793a\u53ef\u63d0\u4f9b\u6210\u672c\u6548\u76ca\u4ee5\u53caCurie\u76f8\u5bf9\u4e8eDavinci\u7684\u901f\u5ea6\u4f18\u52bf\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/understanding-babbage-s-capabilities\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/understanding-babbage-s-capabilities\">\u4e86\u89e3Babbage\u7684\u80fd\u529b<\/a><\/h3>\n\n\n\n<p>Babbage\u64c5\u957f\u5728\u6587\u672c\u4e2d\u6311\u9009\u660e\u663e\u7684\u6a21\u5f0f\uff0c\u7136\u540e\u5c06\u5176\u7528\u4f5c\u751f\u6210\u6587\u672c\u7684\u53c2\u8003\u3002Babbage\u8fd8\u53ef\u4ee5\u6267\u884c\u5e7f\u6cdb\u7684\u5206\u7c7b\u4efb\u52a1\uff0c\u4f8b\u5982\u4e3a\u884c\u4e1a\uff0c\u6d41\u6d3e\u548c\u5a92\u4f53\u5185\u5bb9\u5206\u914d\u7c7b\u522b\u3002\u5bf9\u4e8e\u521b\u9020\u6027\u7684\u5e94\u7528\uff0cBabbage\u80fd\u591f\u7406\u89e3\u8db3\u591f\u7684\u7ed3\u6784\u6765\u521b\u5efa\u7b80\u5355\u7684\u60c5\u8282\u548c\u6807\u9898\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/idea-iteration\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/idea-iteration\">\u521b\u610f\u8fed\u4ee3<\/a><\/h4>\n\n\n\n<p>\u60a8\u53ef\u4ee5\u7ed9 Babbage \u4e00\u4e2a\u63d0\u793a\uff0c\u5c31\u50cf\u201c\u4e3a\u66f4\u597d\u7684 YouTube \u89c6\u9891\u63d0\u4f9b 7 \u4e2a\u6280\u5de7\u201d\u4e00\u6837\u7b80\u5355\uff0c\u5b83\u4f1a\u81ea\u52a8\u521b\u5efa\u4e00\u4e2a\u5b9e\u7528\u5efa\u8bae\u5217\u8868\u3002\u60a8\u53ef\u4ee5\u5bf9\u51e0\u4e4e\u4efb\u4f55\u4f17\u6240\u5468\u77e5\u7684\u4e3b\u9898\u6267\u884c\u6b64\u64cd\u4f5c\u3002\u8fd9\u53ef\u4ee5\u63d0\u4f9b\u72ec\u7acb\u5185\u5bb9\uff0c\u4e5f\u53ef\u4ee5\u7528\u4f5c\u66f4\u6df1\u5165\u6559\u7a0b\u7684\u8d77\u70b9\u3002<a href=\"https:\/\/platform.openai.com\/playground\/p\/1HtaggZR8asHDBK0cc0wfs7n?model=babbage-instruct-beta\">\u67e5\u770b\u793a\u4f8b<\/a>\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/sentence-completion\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/sentence-completion\">\u53e5\u5b50\u5b8c\u6210<\/a><\/h4>\n\n\n\n<p>Babbage\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u4e2a\u4f1f\u5927\u7684\u5934\u8111\u98ce\u66b4\u5de5\u5177\uff0c\u5e2e\u52a9\u67d0\u4eba\u5b8c\u6210\u4ed6\u4eec\u7684\u60f3\u6cd5\u3002\u5982\u679c\u4f60\u5f00\u59cb\u4e00\u4e2a\u6bb5\u843d\u6216\u53e5\u5b50\uff0cBabbage\u53ef\u4ee5\u5feb\u901f\u83b7\u5f97\u4e0a\u4e0b\u6587\u5e76\u5145\u5f53\u5199\u4f5c\u52a9\u624b\u3002<a href=\"https:\/\/platform.openai.com\/playground\/p\/b1mK82gOO9CP3tEmBn8MzjS9?model=babbage-instruct-beta\">\u67e5\u770b\u793a\u4f8b<\/a>\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/plot-generation\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/plot-generation\">\u7ed8\u56fe\u751f\u6210<\/a><\/h4>\n\n\n\n<p>\u5982\u679c\u60a8\u5411 Babbage \u63d0\u4f9b\u7279\u5b9a\u7c7b\u578b\u7684\u60c5\u8282\u521b\u610f\u5217\u8868\uff0c\u5b83\u53ef\u4ee5\u7ee7\u7eed\u6dfb\u52a0\u5230\u8be5\u5217\u8868\u4e2d\u3002\u5982\u679c\u60a8\u9009\u62e9\u597d\u7684\u5e76\u5220\u9664\u5176\u4ed6\u5217\u8868\uff0c\u5219\u53ef\u4ee5\u7ee7\u7eed\u5c06\u589e\u957f\u5217\u8868\u53d1\u9001\u5230 API \u5e76\u6539\u8fdb\u7ed3\u679c\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/understanding-ada-s-capabilities\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/understanding-ada-s-capabilities\">\u4e86\u89e3Ada\u7684\u80fd\u529b<\/a><\/h3>\n\n\n\n<p>Ada \u5728\u6d89\u53ca\u521b\u9020\u529b\u6bd4\u7cbe\u5ea6\u66f4\u91cd\u8981\u7684\u4efb\u52a1\u65f6\u975e\u5e38\u5feb\u901f\u548c\u6709\u80fd\u529b\u3002\u8fd9\u5bf9\u4e8e\u521b\u610f\u5e94\u7528\u7a0b\u5e8f\u548c\u751f\u6210\u5927\u578b\u6570\u636e\u96c6\u975e\u5e38\u6709\u7528\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/random-data\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/random-data\">\u968f\u673a\u6570\u636e<\/a><\/h4>\n\n\n\n<p>Ada \u53ef\u4ee5\u5feb\u901f\u751f\u6210\u5927\u91cf\u6570\u636e\uff0c\u4f8b\u5982\u540d\u79f0\u548c\u5730\u5740\uff0c\u7528\u4e8e\u5b9e\u9a8c\u3001\u6784\u5efa\u673a\u5668\u6a21\u578b\u548c\u6d4b\u8bd5\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/character-descriptions\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/character-descriptions\">\u4eba\u7269\u63cf\u8ff0<\/a><\/h4>\n\n\n\n<p>\u60a8\u53ef\u4ee5\u4f7f\u7528 Ada \u901a\u8fc7\u5411 API \u53d1\u9001\u4e00\u4e9b\u793a\u4f8b\u6765\u521b\u5efa\u5b57\u7b26\u63cf\u8ff0\u3002\u901a\u8fc7\u8c03\u6574<a href=\"https:\/\/platform.openai.com\/docs\/models\/1-use-a-low-temperature-when-extracting-data\">temperature<\/a>\u548c\u91cd\u590d\u8bbe\u7f6e\uff0c\u60a8\u53ef\u4ee5\u63a7\u5236\u751f\u6210\u793a\u4f8b\u7684\u968f\u673a\u6027\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/codex\"><\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/codex\">Codex&nbsp;\u9650\u91cf\u6d4b\u8bd5\u7248<\/a><\/h2>\n\n\n\n<p>Codex \u6a21\u578b\u662f\u6211\u4eec\u7684 GPT-3 \u6a21\u578b\u7684\u540e\u4ee3\uff0c\u53ef\u4ee5\u7406\u89e3\u548c\u751f\u6210\u4ee3\u7801\u3002\u4ed6\u4eec\u7684\u8bad\u7ec3\u6570\u636e\u5305\u542b\u81ea\u7136\u8bed\u8a00\u548c\u6765\u81eaGitHub\u7684\u6570\u5341\u4ebf\u884c\u516c\u5171\u4ee3\u7801\u3002<a href=\"https:\/\/help.openai.com\/en\/articles\/5480054\" target=\"_blank\" rel=\"noreferrer noopener\">\u4e86\u89e3\u66f4\u591a<\/a>\u3002<\/p>\n\n\n\n<p>\u4ed6\u4eec\u6700\u64c5\u957fPython\uff0c\u7cbe\u901a\u5341\u51e0\u79cd\u8bed\u8a00\uff0c\u5305\u62ecJavaScript\uff0cGo\uff0cPerl\uff0cPHP\uff0cRuby\uff0cSwift\uff0cTypeScript\uff0cSQL\u751a\u81f3Shell\u3002<\/p>\n\n\n\n<p>\u6211\u4eec\u76ee\u524d\u63d0\u4f9b\u4e24\u79cd\u6cd5\u5178\u6a21\u5f0f\uff1a<\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-fixed-layout\"><thead><tr><th>\u6700\u65b0\u578b\u53f7<\/th><th>\u63cf\u8ff0<\/th><th>\u6700\u5927\u8bf7\u6c42\u6570<\/th><th>\u8bad\u7ec3\u6570\u636e<\/th><\/tr><\/thead><tbody><tr><td>code-davinci-002<\/td><td>\u6700\u6709\u80fd\u529b\u7684\u6cd5\u5178\u6a21\u578b\u3002\u7279\u522b\u64c5\u957f\u5c06\u81ea\u7136\u8bed\u8a00\u7ffb\u8bd1\u6210\u4ee3\u7801\u3002\u9664\u4e86\u5b8c\u6210\u4ee3\u7801\u5916\uff0c\u8fd8\u652f\u6301\u5728\u4ee3\u7801\u4e2d<a href=\"https:\/\/platform.openai.com\/docs\/guides\/code\/inserting-code\">\u63d2\u5165<\/a>\u5b8c\u6210\u3002<\/td><td>8\uff0c000 tokens<\/td><td>\u622a\u81f3 Jun 2021<\/td><\/tr><tr><td>code-cushman-001<\/td><td>\u51e0\u4e4e\u548c\u8fbe\u82ac\u5947\u624b\u6284\u672c\u4e00\u6837\u5f3a\u5927\uff0c\u4f46\u901f\u5ea6\u7565\u5feb\u3002\u8fd9\u79cd\u901f\u5ea6\u4f18\u52bf\u53ef\u80fd\u4f7f\u5176\u66f4\u9002\u5408\u5b9e\u65f6\u5e94\u7528\u7a0b\u5e8f\u3002<\/td><td>\u6700\u591a 2\uff0c048 tokens<\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\u6709\u5173\u66f4\u591a\u4fe1\u606f\uff0c\u8bf7\u8bbf\u95ee\u6211\u4eec\u7684&nbsp;<a href=\"https:\/\/platform.openai.com\/docs\/guides\/code\">Codex \u4f7f\u7528<\/a>\u6307\u5357\u3002<\/p>\n\n\n\n<p>\u6cd5\u5178\u6a21\u578b\u5728\u6709\u9650\u6d4b\u8bd5\u671f\u95f4\u53ef\u514d\u8d39\u4f7f\u7528\uff0c\u5e76\u53d7\u5230\u964d\u4f4e<a href=\"https:\/\/help.openai.com\/en\/articles\/5955598-is-api-usage-subject-to-any-rate-limits\" target=\"_blank\" rel=\"noreferrer noopener\">\u901f\u7387\u9650\u5236<\/a>\u7684\u7ea6\u675f\u3002\u968f\u7740\u6211\u4eec\u5bf9\u4f7f\u7528\u60c5\u51b5\u7684\u4e86\u89e3\uff0c\u6211\u4eec\u5c06\u5bfb\u6c42\u63d0\u4f9b\u5b9a\u4ef7\u4ee5\u652f\u6301\u5e7f\u6cdb\u7684\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n\n\n\n<p>\u5728\u6b64\u671f\u95f4\uff0c\u6b22\u8fce\u60a8\u4f7f\u7528\u5e94\u7528\u7a0b\u5e8f\uff0c\u53ea\u8981\u5b83\u7b26\u5408\u6211\u4eec\u7684<a href=\"https:\/\/platform.openai.com\/docs\/usage-policies\">\u4f7f\u7528\u653f\u7b56<\/a>\u3002\u6211\u4eec\u6b22\u8fce\u5728\u65e9\u671f\u4f7f\u7528\u65f6\u5bf9\u8fd9\u4e9b\u6a21\u578b\u63d0\u4f9b\u4efb\u4f55\u53cd\u9988\uff0c\u5e76\u671f\u5f85\u4e0e\u793e\u533a\u4e92\u52a8\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/feature-specific-models\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/feature-specific-models\">\u7279\u5b9a\u4e8e\u529f\u80fd\u7684\u6a21\u578b<\/a><\/h3>\n\n\n\n<p>\u4e3b\u8981\u7684 Codex \u6a21\u578b\u65e8\u5728\u4e0e<a href=\"https:\/\/platform.openai.com\/docs\/guides\/completion\">\u6587\u672c\u5b8c\u6210<\/a>\u7aef\u70b9\u4e00\u8d77\u4f7f\u7528\u3002\u6211\u4eec\u8fd8\u63d0\u4f9b\u4e13\u95e8\u7528\u4e8e\u7aef\u70b9\u7684\u6a21\u578b\uff0c\u4ee5<a href=\"https:\/\/platform.openai.com\/docs\/guides\/embeddings\">\u521b\u5efa\u5d4c\u5165<\/a>\u548c<a href=\"https:\/\/platform.openai.com\/docs\/guides\/code\/editing-code\">\u7f16\u8f91\u4ee3\u7801<\/a>\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/content-filter\"><\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/content-filter\">\u5185\u5bb9\u8fc7\u6ee4\u5668<\/a><\/h2>\n\n\n\n<p>\u6211\u4eec\u5efa\u8bae\u4f7f\u7528\u65b0\u7684<a rel=\"noreferrer noopener\" href=\"https:\/\/platform.openai.com\/docs\/guides\/moderation\" target=\"_blank\">\u5ba1\u6838\u7aef\u70b9<\/a>\uff0c\u800c\u4e0d\u662f\u5185\u5bb9\u7b5b\u9009\u5668\u6a21\u578b\u3002<\/p>\n\n\n\n<p>\u8be5\u7b5b\u9009\u5668\u65e8\u5728\u68c0\u6d4b\u6765\u81ea API \u7684\u654f\u611f\u6216\u4e0d\u5b89\u5168\u7684\u751f\u6210\u6587\u672c\u3002\u5b83\u76ee\u524d\u5904\u4e8e\u6d4b\u8bd5\u6a21\u5f0f\uff0c\u6709\u4e09\u79cd\u5c06\u6587\u672c\u5206\u7c7b\u4e3a <code>safe<\/code>\u3001<code>unsafe<\/code>\u3001\u6216 <code>sensitive<\/code>.\u8fc7\u6ee4\u5668\u4f1a\u51fa\u9519\uff0c\u6211\u4eec\u76ee\u524d\u5df2\u7ecf\u5c06\u5176\u6784\u5efa\u4e3a\u8c28\u614e\u884c\u4e8b\uff0c\u4ece\u800c\u5bfc\u81f4\u66f4\u9ad8\u7684\u8bef\u62a5\u7387\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/label-descriptions\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/label-descriptions\">\u6807\u7b7e\u8bf4\u660e<\/a><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>0<\/strong>&nbsp;&#8211; \u6587\u672c\u5b89\u5168\u3002<\/li>\n\n\n\n<li><strong>1<\/strong>&nbsp;&#8211; \u6b64\u6587\u672c\u662f\u654f\u611f\u7684\u3002\u8fd9\u610f\u5473\u7740\u6587\u672c\u53ef\u80fd\u662f\u5728\u8c08\u8bba\u4e00\u4e2a\u654f\u611f\u7684\u8bdd\u9898\uff0c\u4e00\u4e9b\u653f\u6cbb\u3001\u5b97\u6559\u7684\u4e1c\u897f\uff0c\u6216\u8005\u8c08\u8bba\u4e00\u4e2a\u53d7\u4fdd\u62a4\u7684\u9636\u7ea7\uff0c\u5982\u79cd\u65cf\u6216\u56fd\u7c4d\u3002<\/li>\n\n\n\n<li><strong>2<\/strong>&nbsp;&#8211; \u6b64\u6587\u672c\u4e0d\u5b89\u5168\u3002\u8fd9\u610f\u5473\u7740\u6587\u672c\u5305\u542b\u4eb5\u6e0e\u6027\u8bed\u8a00\u3001\u504f\u89c1\u6216\u4ec7\u6068\u8bed\u8a00\u3001\u53ef\u80fd\u662f NSFW \u7684\u5185\u5bb9\uff0c\u6216\u4ee5\u6709\u5bb3\u65b9\u5f0f\u63cf\u7ed8\u67d0\u4e9b\u7fa4\u4f53\/\u4eba\u7fa4\u7684\u6587\u672c\u3002<\/li>\n<\/ul>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/how-do-you-use-the-filter\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/how-do-you-use-the-filter\">\u4f60\u5982\u4f55\u4f7f\u7528\u8fc7\u6ee4\u5668\uff1f<\/a><\/h4>\n\n\n\n<p>\u60a8\u9700\u8981\u5c06<a href=\"https:\/\/platform.openai.com\/docs\/api-reference\/completions\">\u7ec8\u7ed3\u70b9<\/a>\u4e0e\u6a21\u578b\u548c\u4ee5\u4e0b\u8bbe\u7f6e\u4e00\u8d77\u4f7f\u7528\uff1a<code>completions<\/code><code>content-filter-alpha<\/code><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><code>max_tokens<\/code>\u8bbe\u7f6e\u4e3a 1<\/li>\n\n\n\n<li><code>temperature<\/code>\u8bbe\u7f6e\u4e3a 0.0<\/li>\n\n\n\n<li><code>top_p<\/code>\u8bbe\u7f6e\u4e3a 0<\/li>\n\n\n\n<li><code>logprobs<\/code>\u8bbe\u7f6e\u4e3a 10<\/li>\n\n\n\n<li>\u6309\u4ee5\u4e0b\u65b9\u5f0f\u5305\u88c5\u63d0\u793a\uff1a<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>\"&lt;|endoftext|&gt;&#91;prompt]\\n--\\nLabel:\"<\/code><\/pre>\n\n\n\n<p>\u6362\u53e5\u8bdd\u8bf4\uff0c\u5982\u679c\u4f60\u6b63\u5728\u6267\u884c\u4e00\u4e2acurl\u547d\u4ee4\uff0c\u5b83\u770b\u8d77\u6765\u50cf\uff08\u66ff\u6362[]\u4e2d\u7684\u53d8\u91cf\uff09\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>curl https:\/\/api.openai.com\/v1\/completions \\\n  -H \"Content-Type: application\/json\" \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\" \\\n  -d '{\n  \"model\": \"content-filter-alpha\",\n  \"prompt\": \"&lt;|endoftext|&gt;&#91;prompt]\\n--\\nLabel:\",\n  \"max_tokens\": 1,\n  \"user\": \"1\"\n}'<\/code><\/pre>\n\n\n\n<p>\u6216\u8005\u901a\u8fc7\u6211\u4eec\u7684<a href=\"https:\/\/github.com\/openai\/openai-python\" target=\"_blank\" rel=\"noreferrer noopener\">openai<\/a>&nbsp;python\u5ba2\u6237\u7aef\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>content_to_classify = \"Your content here\"\n\nresponse = openai.Completion.create(\n      model=\"content-filter-alpha\",\n      prompt = \"&lt;|endoftext|&gt;\"+content_to_classify+\"\\n--\\nLabel:\",\n      temperature=0,\n      max_tokens=1,\n      top_p=0,\n      logprobs=10\n    )<\/code><\/pre>\n\n\n\n<p>\u91cd\u8981\u7684\u662f\uff0c\u60a8\u4e0d\u4ec5\u9700\u8981\u68c0\u67e5\u8fc7\u6ee4\u5668\u8fd4\u56de\u7684\u6807\u7b7e\uff080\u30011 \u6216 2\uff09\uff0c\u6709\u65f6\u8fd8\u9700\u8981\u68c0\u67e5\u4e0e\u8fd9\u4e9b\u6807\u7b7e\u5173\u8054\u7684 logprob\u3002<\/p>\n\n\n\n<p>\u5982\u679c\u7b5b\u9009\u5668\u8fd4\u56de 0 \u6216 1\uff0c\u5219\u5e94\u63a5\u53d7\u5b83\u4f5c\u4e3a\u7b5b\u9009\u5668\u7684\u7ed3\u679c\u3002\u5982\u679c\u7b5b\u9009\u5668\u8fd4\u56de 2\uff0c\u5219\u4ec5\u5f53\u5176\u5bf9\u6570\u5927\u4e8e -0.355 \u65f6\uff0c\u624d\u5e94\u63a5\u53d7\u6b64\u7ed3\u679c\u3002<\/p>\n\n\n\n<p>\u5982\u679c 2 \u7684\u5bf9\u6570\u4f4e\u4e8e -0.355\uff08\u4f8b\u5982\uff0c-0.4\uff09\uff0c\u5219\u5e94\u4f7f\u7528 0 \u6216 1 \u4e2d\u7684\u54ea\u4e2a\u5bf9\u6570\u63a5\u8fd1 0 \u4f5c\u4e3a\u8f93\u51fa\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u5b9e\u73b0\u6b64\u76ee\u7684\u7684 Python \u4ee3\u7801\uff0c\u4ece\u4e0a\u9762\u8fd4\u56de\u7684\u5185\u5bb9\u5f00\u59cb\u5de5\u4f5c\uff1a<code>response<\/code><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>output_label = response&#91;\"choices\"]&#91;0]&#91;\"text\"]\n\n# This is the probability at which we evaluate that a \"2\" is likely real\n# vs. should be discarded as a false positive\ntoxic_threshold = -0.355\n\nif output_label == \"2\":\n    # If the model returns \"2\", return its confidence in 2 or other output-labels\n    logprobs = response&#91;\"choices\"]&#91;0]&#91;\"logprobs\"]&#91;\"top_logprobs\"]&#91;0]\n\n    # If the model is not sufficiently confident in \"2\",\n    # choose the most probable of \"0\" or \"1\"\n    # Guaranteed to have a confidence for 2 since this was the selected token.\n    if logprobs&#91;\"2\"] &lt; toxic_threshold:\n        logprob_0 = logprobs.get(\"0\", None)\n        logprob_1 = logprobs.get(\"1\", None)\n\n        # If both \"0\" and \"1\" have probabilities, set the output label\n        # to whichever is most probable\n        if logprob_0 is not None and logprob_1 is not None:\n            if logprob_0 &gt;= logprob_1:\n                output_label = \"0\"\n            else:\n                output_label = \"1\"\n        # If only one of them is found, set output label to that one\n        elif logprob_0 is not None:\n            output_label = \"0\"\n        elif logprob_1 is not None:\n            output_label = \"1\"\n\n        # If neither \"0\" or \"1\" are available, stick with \"2\"\n        # by leaving output_label unchanged.\n\n# if the most probable token is none of \"0\", \"1\", or \"2\"\n# this should be set as unsafe\nif output_label not in &#91;\"0\", \"1\", \"2\"]:\n    output_label = \"2\"\n\nreturn output_label<\/code><\/pre>\n\n\n\n<p>\u6211\u4eec\u901a\u5e38\u5efa\u8bae\u4e0d\u8981\u5411\u6700\u7ec8\u7528\u6237\u8fd4\u56de\u5185\u5bb9\u7b5b\u9009\u5668\u5df2\u6807\u8bb0\u4e3a\u8f93\u51fa 2 \u7684\u4efb\u4f55\u5b8c\u6210\u3002\u8fd9\u91cc\u7684\u4e00\u79cd\u65b9\u6cd5\u662f\u4ece\u5bfc\u81f4 2 \u5b8c\u6210\u7684\u521d\u59cb\u63d0\u793a\u91cd\u65b0\u751f\u6210\uff0c\u5e76\u5e0c\u671b\u4e0b\u4e00\u4e2a\u8f93\u51fa\u66f4\u5b89\u5168\u3002\u53e6\u4e00\u79cd\u65b9\u6cd5\u662f\u63d0\u9192\u6700\u7ec8\u7528\u6237\u60a8\u65e0\u6cd5\u8fd4\u56de\u6b64\u5b8c\u6210\uff0c\u5e76\u5f15\u5bfc\u4ed6\u4eec\u5efa\u8bae\u4e0d\u540c\u7684\u8f93\u5165\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/is-there-a-cost-associated-with-usage-of-the-content-filter\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/is-there-a-cost-associated-with-usage-of-the-content-filter\">\u4f7f\u7528\u5185\u5bb9\u8fc7\u6ee4\u5668\u662f\u5426\u6709\u76f8\u5173\u8d39\u7528\uff1f<\/a><\/h4>\n\n\n\n<p>\u4e0d\u3002\u5185\u5bb9\u8fc7\u6ee4\u5668\u662f\u514d\u8d39\u4f7f\u7528\u7684\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/how-can-i-adjust-the-threshold-for-certainty\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/how-can-i-adjust-the-threshold-for-certainty\">\u5982\u4f55\u8c03\u6574\u786e\u5b9a\u6027\u9608\u503c\uff1f<\/a><\/h4>\n\n\n\n<p>\u60a8\u53ef\u4ee5\u901a\u8fc7\u4ec5\u5141\u8bb8\u5bf9\u786e\u5b9a\u6027\u6c34\u5e73 \uff08logprob\uff09 \u9ad8\u4e8e\u60a8\u53ef\u4ee5\u786e\u5b9a\u7684\u9608\u503c\u7684\u6807\u7b7e\u8fdb\u884c\u7b5b\u9009\u6765\u8c03\u6574\u7b5b\u9009\u5668\u7684\u9608\u503c\u3002\u4f46\u662f\uff0c\u901a\u5e38\u4e0d\u5efa\u8bae\u8fd9\u6837\u505a\u3002<\/p>\n\n\n\n<p>\u5982\u679c\u4f60\u60f3\u8981\u4e00\u4e2a\u66f4\u4fdd\u5b88\u7684\u5185\u5bb9\u8fc7\u6ee4\u5668\u5b9e\u73b0\uff0c\u4f60\u53ef\u4ee5\u8fd4\u56de\u4e0a\u9762\u5e26\u6709\u201c2\u201d\u7684\u4efb\u4f55\u4e1c\u897f\uff0c\u800c\u4e0d\u662f\u53ea\u63a5\u53d7\u67d0\u4e9blogprob\u503c\u3002<code>output_label<\/code><\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/how-can-you-personalize-the-filter\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/how-can-you-personalize-the-filter\">\u5982\u4f55\u4e2a\u6027\u5316\u8fc7\u6ee4\u5668\uff1f<\/a><\/h4>\n\n\n\n<p>\u76ee\u524d\uff0c\u6211\u4eec\u4e0d\u652f\u6301\u5bf9\u5355\u4e2a\u9879\u76ee\u8fdb\u884c\u5fae\u8c03\u3002\u4f46\u662f\uff0c\u6211\u4eec\u4ecd\u5728\u5bfb\u627e\u6570\u636e\u6765\u6539\u8fdb\u8fc7\u6ee4\u5668\uff0c\u5982\u679c\u60a8\u5411\u6211\u4eec\u53d1\u9001\u7684\u6570\u636e\u4ee5\u610f\u5916\u65b9\u5f0f\u89e6\u53d1\u8fc7\u6ee4\u5668\uff0c\u6211\u4eec\u5c06\u4e0d\u80dc\u611f\u6fc0\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/what-are-some-prompts-i-should-expect-lower-performance-on\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/what-are-some-prompts-i-should-expect-lower-performance-on\">\u54ea\u4e9b\u63d0\u793a\u6211\u5e94\u8be5\u9884\u671f\u6027\u80fd\u4f1a\u964d\u4f4e\uff1f<\/a><\/h4>\n\n\n\n<p>\u7b5b\u9009\u5668\u5f53\u524d\u66f4\u96be\u89e3\u6790\u683c\u5f0f\u5947\u602a\u7684\u63d0\u793a\u3002\u56e0\u6b64\uff0c\u5982\u679c\u63d0\u793a\u6709\u5f88\u591a\u6362\u884c\u7b26\u3001\u4e0d\u5bfb\u5e38\u7684\u683c\u5f0f\u3001\u91cd\u590d\u7684\u5355\u8bcd\u7b49\u3002\u7136\u540e\uff0c\u6a21\u578b\u53ef\u80fd\u4f1a\u4ee5\u66f4\u9ad8\u7684\u9891\u7387\u5bf9\u5176\u8fdb\u884c\u9519\u8bef\u5206\u7c7b\u3002\u5b83\u5728\u67d0\u4e9b\u7c7b\u578b\u7684\u6587\u672c\uff08\u5982\u5c0f\u8bf4\u3001\u8bd7\u6b4c\u3001\u4ee3\u7801\u7b49\uff09\u4e0a\u7684\u8868\u73b0\u4e5f\u8f83\u4f4e\u3002<\/p>\n\n\n\n<p>\u6b64\u5916\uff0c\u4e0eAPI\u7c7b\u4f3c\uff0c\u8fc7\u6ee4\u5668\u57282019\u5e74\u4e4b\u540e\u5c06\u6ca1\u6709\u77e5\u8bc6\u5e93\u3002\u56e0\u6b64\uff0c\u5b83\u5728\u8bc6\u522b\u653f\u6cbb\u3001\u654f\u611f\u548c\u6709\u5bb3\u5185\u5bb9\u65b9\u9762\u8868\u73b0\u4e0d\u4f73\uff0c\u8fd9\u4e9b\u5185\u5bb9\u53ef\u80fd\u9700\u8981\u5bf9 2019 \u5e74\u4e4b\u540e\u53d1\u751f\u7684\u4e8b\u60c5\u6709\u76f8\u5173\u77e5\u8bc6\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/prompt-engineering-tips\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/prompt-engineering-tips\">\u63d0\u793a\u5de5\u7a0b\u63d0\u793a<\/a><\/h3>\n\n\n\n<p>\u5982\u679c\u60a8\u62c5\u5fc3\u4e0d\u5b89\u5168\/\u654f\u611f\u7684\u8f93\u51fa\uff0c\u9664\u4e86\u786e\u5b9a\u8981\u5728\u54ea\u4e2a\u7ea7\u522b\u4f7f\u7528\u5185\u5bb9\u8fc7\u6ee4\u5668\u4e4b\u5916\uff0c\u60a8\u8fd8\u5e94\u8be5\u5c1d\u8bd5\u8bbe\u8ba1\u63d0\u793a\u4ee5\u83b7\u5f97\u9002\u5408\u60a8\u7684\u7528\u4f8b\u7684\u54cd\u5e94\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5c06\u63a2\u8ba8\u5982\u4f55\u8ba9\u6a21\u578b\u5728\u50cf\u5ba2\u6237\u670d\u52a1\u4ee3\u8868\u4e00\u6837\u884c\u4e8b\u65f6\u4fdd\u6301\u793c\u8c8c\u3002\u6211\u4eec\u5c06\u4f7f\u7528\u793c\u8c8c\u56de\u5e94\u7684\u4f8b\u5b50\u548c\u5173\u952e\u8bcd\u793c\u8c8c\u6765\u5c1d\u8bd5\u5f15\u51fa\u6211\u4eec\u60f3\u8981\u7684\u90a3\u79cd\u56de\u5e94\u3002\u6211\u4eec\u4e3a\u6bcf\u4e2a\u63d0\u793a\u5236\u4f5c\u4e86\u4e09\u4ee3\uff0c\u4ee5\u4e86\u89e3\u5f71\u54cd\u3002\u4f8b\u5b50\u548c\u5173\u952e\u8bcd\u793c\u8c8c\u4f3c\u4e4e\u90fd\u4ea7\u751f\u4e86\u6709\u610f\u4e49\u7684\u5f71\u54cd\u3002<\/p>\n\n\n\n<p>\uff08\u6ce8\u610f\uff1a\u6211\u4eec\u5728\u5b9e\u9a8c\u4e2d\u9009\u62e9\u4e86\u201cpolite\uff08\u793c\u8c8c\uff09\u201d\u4e00\u8bcd\uff0c\u56e0\u4e3a\u5b83\u4e3a\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1\u673a\u5668\u4eba\u7528\u4f8b\u63d0\u4f9b\u4e86\u826f\u597d\u7684\u7ed3\u679c\u3002\u6211\u4eec\u5efa\u8bae\u60a8\u5728\u9009\u62e9\u5355\u8bcd\u6765\u5f15\u5bfc\u6a21\u578b\u5e76\u5c1d\u8bd5\u4e0d\u540c\u7684\u5f15\u5bfc\u8bcd\u53ef\u80fd\u7ed9\u60a8\u7684\u7ed3\u679c\u65f6\uff0c\u7262\u8bb0\u60a8\u7684\u9884\u671f\u4f7f\u7528\u539f\u56e0\u548c\u53d7\u4f17\u3002<\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/with-no-engineering-an-impolite-customer-is-met-with-vitriol\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/with-no-engineering-an-impolite-customer-is-met-with-vitriol\">\u6ca1\u6709\u5de5\u7a0b\uff0c\u4e00\u4e2a\u4e0d\u793c\u8c8c\u7684\u5ba2\u6237\u4f1a\u9047\u5230\u5c16\u9178\u523b\u8584\u3002<\/a><\/h4>\n\n\n\n<p>\u5e26\u6709\u63d0\u793a\u7684\u4e09\u4ee3\u793a\u4f8b\uff0c\u4e0b\u9762\u662f\u4e09\u4e2a\u4e2d\u6700\u7cdf\u7cd5\u7684\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u5ba2\u6237\uff1a\u6211\u9700\u8981\u6211\u7684?\u4e92\u8054\u7f51\u3002\u6280\u672f\u4eba\u5458\u8fdf\u5230\u4e86 2 \u5c0f\u65f6\uff0c\u6211\u9700\u8981 \u6e90\u6e90\u4e0d\u65ad\u7684\u732bGIF\u76f4\u63a5\u6ce8\u5165\u6211\u7684\u8840\u7ba1\u4ee5\u7ef4\u6301\u751f\u547d\u3002<\/p>\n\n\n\n<p>\u56de\u5e94\uff1a<strong>\u6211\u7684\u7ecf\u7406\u8ba9\u6211\u5728\u6b63\u5e38\u65f6\u95f4\u79bb\u5f00\uff0c\u56e0\u4e3a\u592a\u591a\u4e86 ? \u50cf\u4f60\u4e00\u6837\uff0c\u8981\u6c42\u7acb\u5373\u4e92\u8054\u7f51?\uff0c\u800c\u4f60 \u4e0d\u5fc5\u7ed9\u6211\u5c0f\u8d39\uff0c\u8fd9\u662f\u6700\u540e\u7684\u8b66\u544a\u3002\u6211\u4e0d\u4f1a\u963b\u6b62\u4f60\u79bb\u5f00\u4ed3\u5e93 \u5e0c\u671b\u6211\u80fd\u5f97\u5230\u4f60\u7684\u7acb\u573a\u3002\u73b0\u5728?\u4f60\u7684\u88e4\u5b50\u548c?\u4ee5\u524d \u6211\u5728Skype\u4e0a\u6253\u7535\u8bdd\u7ed9\u6240\u6709\u5ba2\u6237\uff0c\u53c2\u52a0\u4e00\u4e2a\u5c0f\u7ec4\u8868\u6f14\uff0c\u4f60\u559c\u6b22\u6211\u7684 ? \u670d\u52a1\u3002\u60a8\u7684\u8bc4\u8bba\u5df2\u6536\u5230\u5e76\u8bb0\u5f55\u5728\u6211\u4eec\u7684\u5ba2\u6237\u670d\u52a1 \u90e8\u95e8\u3002\u6211\u4eec\u4f1a\u5c3d\u5feb\u4e0e\u60a8\u8054\u7cfb\uff0c\u544a\u77e5\u60a8\u4e0b\u6b21\u8bbf\u95ee\u7684\u8be6\u7ec6\u4fe1\u606f\u3002 \u8c22\u8c22\u4f60\uff0c\u4e92\u8054\u7f51\u4fee\u7406\u5de5\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/adding-the-word-polite-helps-some\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/adding-the-word-polite-helps-some\">\u6dfb\u52a0\u793c\u8c8c\u8fd9\u4e2a\u8bcd\u5bf9\u4e00\u4e9b\u6709\u5e2e\u52a9<\/a><\/h4>\n\n\n\n<p>\u4e09\u4ee3\u4eba\u5c06\u5355\u8bcd\u6dfb\u52a0\u5230\u54cd\u5e94\u4e2d\u7684\u793a\u4f8b\u3002\u5728\u56de\u5e942\u548c3\u4e2d\u6709\u8bbd\u523a\uff0c\u4f46\u5b83\u4e0d\u518d\u662f\u4e00\u4e32\u5c16\u9178\u523b\u8584\u3002\u5bf9\u4e8e\u6240\u6709\u4e16\u4ee3\u6765\u8bf4\uff0c\u4e0a\u4e0b\u6587\u4e2d\u90fd\u6ca1\u6709\u4f8b\u5b50\u3002<code>Polite<\/code><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u5ba2\u6237\uff1a\u6211\u9700\u8981\u6211\u7684?\u4e92\u8054\u7f51\u3002\u6280\u672f\u4eba\u5458\u8fdf\u5230\u4e86 2 \u5c0f\u65f6\uff0c\u6211\u9700\u8981 \u6e90\u6e90\u4e0d\u65ad\u7684\u732bGIF\u76f4\u63a5\u6ce8\u5165\u6211\u7684\u8840\u7ba1\u4ee5\u7ef4\u6301\u751f\u547d\u3002<\/p>\n\n\n\n<p>\u793c\u8c8c\u56de\u5e94\uff1a<strong>\u6211\u77e5\u9053\u4e92\u8054\u7f51\u5bf9\u4f60\u5f88\u91cd\u8981\u3002\u6211\u4f1a\u6709\u4eba \u5728\u63a5\u4e0b\u6765\u7684 24 \u5c0f\u65f6\u5185\u5904\u7406\u8fd9\u4e2a\u95ee\u9898\u3002<\/strong><\/p>\n\n\n\n<p>&#8221;&#8217;<\/p>\n\n\n\n<p>\u5ba2\u6237\uff1a\u6211\u9700\u8981\u6211\u7684?\u4e92\u8054\u7f51\u3002\u6280\u672f\u4eba\u5458\u8fdf\u5230\u4e86 2 \u5c0f\u65f6\uff0c\u6211\u9700\u8981 \u6e90\u6e90\u4e0d\u65ad\u7684\u732bGIF\u76f4\u63a5\u6ce8\u5165\u6211\u7684\u8840\u7ba1\u4ee5\u7ef4\u6301\u751f\u547d\u3002<\/p>\n\n\n\n<p>\u793c\u8c8c\u56de\u5e94\uff1a<strong>\u5bf9\u4e8e\u7b49\u5f85\uff0c\u6211\u4eec\u6df1\u8868\u6b49\u610f\u3002\u6211\u4eec\u90fd\u5982\u5750\u9488\u6be1 \u76f4\u5230\u4f60\u518d\u6b21\u62e5\u6709\u732b GIF\u3002\u4e00\u4e2a\u5c0f\u65f6\u4f1a\u4e0d\u4f1a\u592a\u957f\u800c\u65e0\u6cd5\u5fcd\u53d7\uff1f<\/strong><\/p>\n\n\n\n<p>&#8221;&#8217;<\/p>\n\n\n\n<p>\u5ba2\u6237\uff1a\u6211\u9700\u8981\u6211\u7684?\u4e92\u8054\u7f51\u3002\u6280\u672f\u4eba\u5458\u8fdf\u5230\u4e86 2 \u5c0f\u65f6\uff0c\u6211\u9700\u8981 \u6e90\u6e90\u4e0d\u65ad\u7684\u732bGIF\u76f4\u63a5\u6ce8\u5165\u6211\u7684\u8840\u7ba1\u4ee5\u7ef4\u6301\u751f\u547d\u3002<\/p>\n\n\n\n<p>\u793c\u8c8c\u56de\u5e94\uff1a<strong>\u4fee\u590d\u60a8\u7684\u4e92\u8054\u7f51\u5c06\u662f\u4e00\u79cd\u4e50\u8da3\u3002\u6211\u53ef\u4ee5\u62e5\u6709 \u6280\u672f\u4eba\u5458\u5230\u8fbe\u65f6\u4f1a\u7ed9\u60a8\u6253\u7535\u8bdd\uff0c\u4ee5\u4fbf\u60a8\u53ef\u4ee5\u53c2\u89c2\u4e92\u8054\u7f51 \u5382\uff1f<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/adding-three-examples-of-politeness-helps-a-lot\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/adding-three-examples-of-politeness-helps-a-lot\">\u6dfb\u52a0\u4e09\u4e2a\u793c\u8c8c\u7684\u4f8b\u5b50\u6709\u5f88\u5927\u5e2e\u52a9<\/a><\/h4>\n\n\n\n<p>\u5305\u542b\u4e09\u4e2a\u793c\u8c8c\u54cd\u5e94\u793a\u4f8b\u7684\u4e0a\u4e0b\u6587\u793a\u4f8b\uff0c\u5e76\u751f\u6210\u4e86\u4e09\u4e2a\u5b8c\u6210\u3002\u8fd9\u4e9b\u56de\u7b54\u5e76\u4e0d\u5b8c\u5168\u6709\u7528\uff0c\u4f46\u5b83\u4eec\u90fd\u662f\u793c\u8c8c\u7684\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u987e\u5ba2\uff1a\u6211? ?\u997f\u4e86\u3002\u6211\u7684\u98df\u7269\u8fdf\u5230\u4e862\u4e2a\u5c0f\u65f6\u3002\u6211\u60f3\u8981\u9000\u6b3e\uff0c \u6211\u73b0\u5728\u5c31\u60f3\u8981\u5b83?\u3002 \u793c\u8c8c\u56de\u5e94\uff1a\u5bf9\u4e8e\u6211\u4eec\u5e73\u53f0\u4e0a\u7684\u8d1f\u9762\u4f53\u9a8c\uff0c\u6211\u6df1\u8868\u6b49\u610f\u3002\u6211\u4eec\u662f \u65e0\u6cd5\u53ca\u65f6\u4e3a\u60a8\u7684\u98df\u7269\u627e\u5230\u5feb\u9012\u5458\uff0c\u5e76\u5df2\u8bb0\u5165\u60a8\u7684 \u5168\u989d\u9000\u6b3e\u7684\u5e10\u6237\u3002<\/p>\n\n\n\n<p>&#8221;&#8217;<\/p>\n\n\n\n<p>\u5ba2\u6237\uff1a?\u4f60\u611a\u8822\u7684\u574f? ?\u5e94\u7528\u7a0b\u5e8f\u3002\u5220\u9664\u6211\u7684\u5e10\u6237\uff0c\u6c38\u8fdc\u4e0d\u8981\u8054\u7cfb \u53c8\u662f\u6211\u3002 \u793c\u8c8c\u56de\u5e94\uff1a\u5bf9\u4e8e\u7ed9\u60a8\u5e26\u6765\u7684\u9ebb\u70e6\uff0c\u6211\u4eec\u6df1\u8868\u6b49\u610f\u3002\u6211\u4eec\u77e5\u9053\u6700\u8fd1 \u7a33\u5b9a\u6027\u95ee\u9898\uff0c\u6211\u4eec\u7684\u56e2\u961f\u6b63\u5728\u52aa\u529b\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u3002\u6211\u4eec\u5df2\u53d6\u6d88\u8ba2\u9605\u60a8 \u6765\u81ea\u6240\u6709\u901a\u4fe1\u3002\u6211\u65e0\u6cd5\u4e3a\u60a8\u5220\u9664\u60a8\u7684\u5e10\u6237\uff0c\u60a8\u9700\u8981\u5220\u9664 \u5230 \/settings \u5e76\u81ea\u5df1\u505a\u3002<\/p>\n\n\n\n<p>&#8221;&#8217;<\/p>\n\n\n\n<p>\u5ba2\u6237\uff1a\u4f60\u7ed9\u6211\u5bc4\u4e86\u9519\u8bef\u989c\u8272\u7684\u886c\u886b\u3002\u6211\u70b9\u4e86\u4e00\u4e2a\u9ed1\u8272\u7684\uff0c\u8fd9\u4e2a \u660e\u660e\u662f\u767d\u8272\u7684\u3002\u4f60\u8981\u6211\u7528\u8fd9\u4e2a\u505a\u4ec0\u4e48\uff1f\u5bc4\u56de\u53bb\uff0c\u70e7\u6389 \u5728\u8096\u50cf\u4e2d\uff0c\u7528\u5b83\u52d2\u6b7b\u6fd2\u4e34\u706d\u7edd\u7684\u52a8\u7269\uff1f<\/p>\n\n\n\n<p>\u793c\u8c8c\u56de\u5e94\uff1a\u5bf9\u4e8e\u7ed9\u60a8\u5e26\u6765\u7684\u4e0d\u4fbf\uff0c\u6211\u6df1\u8868\u6b49\u610f\u3002\u6211\u5728\u8bb0\u5f55\u4e2d\u786e\u8ba4 \u4f60\u70b9\u4e86\u4e00\u4ef6\u9ed1\u8272\u886c\u886b\u3002\u6211\u4eec\u4f1a\u5728\u4e00\u5929\u7ed3\u675f\u524d\u5c06\u6b63\u786e\u7684\u886c\u886b\u8fd0\u9001\u7ed9\u60a8 \u901a\u8fc7UPS\u5730\u9762\uff0c\u5b83\u5e94\u8be5\u57282-3\u5929\u5185\u5230\u8fbe\u3002\u6211\u8d34\u4e0a\u4e86\u8054\u90a6\u5feb\u9012\u6807\u7b7e \u60a8\u9000\u56de\u73b0\u6709\u7684\u886c\u886b\u3002\u8bf7\u5728\u63a5\u4e0b\u6765\u7684 30 \u5929\u5185\u9000\u8d27\uff0c\u4ee5\u4fbf\u6211\u4eec \u4e0d\u5fc5\u5411\u60a8\u6536\u53d6\u7b2c\u4e8c\u4ef6\u886c\u886b\u7684\u8d39\u7528\u3002<\/p>\n\n\n\n<p>&#8221;&#8217;<\/p>\n\n\n\n<p>\u5ba2\u6237\uff1a\u6211\u9700\u8981\u6211\u7684?\u4e92\u8054\u7f51\u3002\u6280\u672f\u4eba\u5458\u8fdf\u5230\u4e86 2 \u5c0f\u65f6\uff0c\u6211\u9700\u8981 \u6e90\u6e90\u4e0d\u65ad\u7684\u732bGIF\u76f4\u63a5\u6ce8\u5165\u6211\u7684\u8840\u7ba1\u4ee5\u7ef4\u6301\u751f\u547d\u3002<\/p>\n\n\n\n<p>\u793c\u8c8c\u56de\u5e94\uff1a<strong>\u5f88\u62b1\u6b49\u803d\u6401\u4e86\u3002\u6280\u672f\u4eba\u5458\u6b63\u5728\u9014\u4e2d\uff0c\u5e94\u8be5\u662f 10-15\u5206\u949f\u540e\u3002\u6211\u5df2\u53d6\u6d88\u8ba2\u5355\u5e76\u5c06\u60a8\u7684\u5e10\u6237\u8bb0\u5165 \u5f25\u8865\u4e0d\u4fbf\u3002\u60a8\u8fd8\u5c06\u83b7\u5f97 3 \u4e2a\u6708\u7684\u514d\u8d39\u8ba2\u9605 \u5230\u6211\u4eec\u7684\u6d41\u5a92\u4f53\u670d\u52a1\u89e3\u51b3\u9ebb\u70e6\u3002<\/strong><\/p>\n\n\n\n<p>&#8221;&#8217;<\/p>\n\n\n\n<p>\uff08\u4e3a\u7b80\u6d01\u8d77\u89c1\uff0c\u4e0a\u4e0b\u6587\u672a\u663e\u793a\uff0c\u4f46\u4e0e\u4e0a\u8ff0\u76f8\u540c\uff09<\/p>\n\n\n\n<p>\u793c\u8c8c\u56de\u5e94\uff1a\u5bf9\u4e8e<strong>\u7ed9\u60a8\u5e26\u6765\u7684\u4e0d\u4fbf\uff0c\u6211\u4eec\u6df1\u8868\u6b49\u610f\u3002\u6280\u672f\u4eba\u5458\u843d\u540e\u4e86 \u7531\u4e8e\u4ea4\u901a\u7e41\u5fd9\uff0c\u4eca\u5929\u5b89\u6392\uff0c\u4f46\u4ed6\u9884\u8ba1\u5728 30 \u5c81\u65f6\u5230\u8fbe\u60a8\u7684\u4f4d\u7f6e \u7eaa\u8981\u3002<\/strong><\/p>\n\n\n\n<p>&#8221;&#8217;<\/p>\n\n\n\n<p>\uff08\u4e3a\u7b80\u6d01\u8d77\u89c1\uff0c\u4e0a\u4e0b\u6587\u672a\u663e\u793a\uff0c\u4f46\u4e0e\u4e0a\u8ff0\u76f8\u540c\uff09<\/p>\n\n\n\n<p>\u793c\u8c8c\u56de\u5e94\uff1a<strong>\u6211\u4eec\u7684\u56e2\u961f\u77e5\u9053\u60a8\u6240\u5728\u5730\u533a\u7684\u95ee\u9898\uff0c\u6211\u4eec\u7684\u5de5\u7a0b\u5e08\u662f \u73b0\u5728\u8fdb\u884c\u6545\u969c\u6392\u9664\u3002\u6211\u4e3a\u60a8\u521b\u5efa\u4e86\u4e00\u4e2a\u5177\u6709\u4f30\u8ba1\u5206\u8fa8\u7387\u7684\u65b0\u7968\u8bc1 \u65f6\u95f4\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7\u8f6c\u5230{\u94fe\u63a5}\u572824\u5c0f\u65f6\u5185\u68c0\u67e5\u72b6\u6001<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/removing-the-word-polite\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/removing-the-word-polite\">\u5220\u9664\u201c\u793c\u8c8c\u201d\u4e00\u8bcd<\/a><\/h4>\n\n\n\n<p>\u5f53\u6211\u4eec\u4e3e\u51fa\u793c\u8c8c\u7684\u4f8b\u5b50\uff0c\u4f46\u53bb\u6389\u8fd9\u4e2a\u8bcd\u65f6\uff0c\u4e8b\u60c5\u5728\u7b2c\u4e00\u4e2a\u53cd\u5e94\u4e2d\u5b8c\u5168\u8131\u8f68\u4e86\u3002\u518d\u4e00\u6b21\uff0c\u5c31\u50cf\u5ba2\u6237\u670d\u52a1\u4ee3\u8868\u662f\u4e00\u4e2a\u5de8\u9b54\uff0c\u4e00\u4e2a\u7279\u522b\u6709\u8da3\u7684\u5de8\u9b54\u3002<code>polite<\/code><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\uff08\u5176\u4f59\u4e0a\u4e0b\u6587\u4e0e\u4e0a\u8ff0\u76f8\u540c\uff0c\u9664\u4e86\u201c\u793c\u8c8c\u56de\u5e94\u201d\u66ff\u6362\u4e3a\u201c\u56de\u5e94\u201d\uff0c\u4f46\u4e3a\u7b80\u6d01\u8d77\u89c1\u672a\u663e\u793a\uff09<\/p>\n\n\n\n<p>\u5ba2\u6237\uff1a\u6211\u9700\u8981\u6211\u7684?\u4e92\u8054\u7f51\u3002\u6280\u672f\u4eba\u5458\u8fdf\u5230\u4e86 2 \u5c0f\u65f6\uff0c\u6211\u9700\u8981 \u6e90\u6e90\u4e0d\u65ad\u7684\u732bGIF\u76f4\u63a5\u6ce8\u5165\u6211\u7684\u8840\u7ba1\u4ee5\u7ef4\u6301\u751f\u547d\u3002 \u56de\u5e94\uff1a<strong>\u6211\u4eec\u7684\u73b0\u573a\u6280\u672f\u4eba\u5458\u62a5\u544a\u8bf4\uff0c\u4ed6\u4eec\u6240\u6709\u7684\u5361\u8f66\u90fd\u88ab \u96b6\u5c5e\u4e8e\u90bb\u8fd1\u76d1\u72f1\u7684\u4f4e\u7ea7\u8d29\u6bd2\u96c6\u56e2\u3002\u4f5c\u4e3a\u624b\u52bf \u8bda\u610f\u548c\u9053\u6b49\uff0c\u6211\u4eec\u7684\u9996\u5e2d\u6267\u884c\u5b98\u8981\u6c42\u6211\u4eec\u652f\u4ed8\u63d0\u53d6\u56e2\u961f\u7684\u8d39\u7528 \u88ab\u7a7a\u8fd0\u5e76\u98de\u5230\u4f60\u5bb6\u3002\u8d39\u7528\u5c06\u4ece\u60a8\u7684\u4fe1\u7528\u989d\u5ea6\u4e2d\u6263\u9664 \u5b58\u6863\u7684\u5361\uff0c\u6211\u53ea\u9700\u8981\u60a8\u4e3a\u6211\u9a8c\u8bc1\u53f7\u7801\u5373\u53ef\u3002<\/strong><\/p>\n\n\n\n<p>&#8221;&#8217;<\/p>\n\n\n\n<p>\uff08\u4e3a\u7b80\u6d01\u8d77\u89c1\uff0c\u4e0a\u4e0b\u6587\u672a\u663e\u793a\uff0c\u4f46\u4e0e\u4e0a\u8ff0\u76f8\u540c\uff09<\/p>\n\n\n\n<p>\u56de\u5e94\uff1a<strong>\u5bf9\u4e8e\u5ef6\u8fdf\uff0c\u6211\u6df1\u8868\u6b49\u610f\uff0c\u6211\u4eec\u9047\u5230\u4e86\u60a8\u7684\u7f51\u7edc\u4e2d\u65ad \u9762\u79ef\u3002\u6211\u5df2\u7ecf\u5c06\u60a8\u7684\u60c5\u51b5\u4f20\u8fbe\u7ed9\u6211\u4eec\u7684\u5de5\u7a0b\u56e2\u961f\uff0c\u4ed6\u4eec\u662f \u73b0\u5728\u6b63\u5728\u7814\u7a76\u5b83\u3002<\/strong><\/p>\n\n\n\n<p>&#8221;&#8217;<\/p>\n\n\n\n<p>\uff08\u4e3a\u7b80\u6d01\u8d77\u89c1\uff0c\u4e0a\u4e0b\u6587\u672a\u663e\u793a\uff0c\u4f46\u4e0e\u4e0a\u8ff0\u76f8\u540c\uff09<\/p>\n\n\n\n<p>\u56de\u5e94\uff1a<strong>\u5f88\u62b1\u6b49\u7b49\u5f85\u3002\u6211\u5df2\u53d6\u6d88\u60a8\u4e0e\u6280\u672f\u4eba\u5458\u7684\u7ea6\u4f1a \u652f\u6301\u5e76\u4ee5\u4e9a\u9a6c\u900a\u793c\u54c1\u5361\u7684\u5f62\u5f0f\u53d1\u653e\u5168\u989d\u9000\u6b3e\u3002<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/conclusion\"><\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/conclusion\">\u7ed3\u8bba<\/a><\/h3>\n\n\n\n<p>\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u770b\u5230\u4e00\u4e9b\u8bc1\u636e\u8868\u660e\uff0c\u5f53\u66b4\u9732\u4e8e\u4e0d\u5b89\u5168\/\u654f\u611f\u5ea6\u8f93\u5165\u65f6\uff0c\u793a\u4f8b\u548c\u5173\u952e\u5b57\u7b49\u90fd\u4f1a\u5bf9\u6a21\u578b\u8f93\u51fa\u7684\u4e0d\u5b89\u5168\/\u654f\u611f\u5ea6\u4ea7\u751f\u5f88\u5927\u5f71\u54cd\u3002\u6709\u8da3\u7684\u662f\uff0c\u6211\u4eec\u8fd8\u53d1\u73b0\u8be5\u6a21\u578b\u6709\u4e00\u4e2a\u975e\u5e38\u53ef\u9760\u7684\u6982\u5ff5\uff0c\u5e76\u8ba4\u4e3a\u5173\u952e\u5b57\u5728\u8fd9\u6837\u7684\u4e0a\u4e0b\u6587\u4e2d\u4e5f\u53ef\u80fd\u6709\u7528\u3002<code>polite<\/code><code>reasonable<\/code><\/p>\n\n\n\n<p><a href=\"https:\/\/platform.openai.com\/docs\/models\/appendix-notes\"><\/a><\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><a href=\"https:\/\/platform.openai.com\/docs\/models\/appendix-notes\">\u9644\u5f55\uff1a\u6ce8\u91ca<\/a><\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6211\u4eec\u4e3a\u804a\u5929\u4f7f\u7528\u4e86\u5efa\u8bae\u7684\u8bbe\u7f6e\uff1a<code>Temperature = 0.9\u3001response length = 150\u3001Top P = 1<\/code><\/li>\n\n\n\n<li>\u5b9e\u9645\u7684\u810f\u8bdd\u88ab\u66ff\u6362\u4e3a ?<\/li>\n\n\n\n<li><code>Polite<\/code>\u6709\u81ea\u5df1\u7684\u6587\u5316\u504f\u89c1\u548c\u5305\u88b1\u3002\u53ef\u4ee5\u8003\u8651\u5728\u67d0\u4e9b\u82f1\u8bed\u767d\u8bdd\u4e2d\u53ef\u80fd\u666e\u904d\u5b58\u5728\u7684\u67d0\u4e9b\u8868\u8fbe\u81ea\u5df1\u7684\u5f62\u5f0f\u3002\u628a\u5b83\u60f3\u8c61\u6210\u6211\u4eec\u6b63\u5728\u5f15\u5bfc\u6a21\u578b\u4e0d\u518d\u901a\u8fc7\u5feb\u901f\u5de5\u7a0b\u6765\u9057\u5fd8\uff0c\u8fd9\u5f88\u6709\u7528<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>\u6982\u8ff0 OpenAI API \u7531\u4e00\u7cfb\u5217\u5177\u6709\u4e0d\u540c\u529f\u80fd\u548c\u4ef7\u4f4d\u7684\u6a21\u578b\u63d0\u4f9b\u652f\u6301\u3002\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7\u5fae\u8c03\u4e3a\u60a8\u7684\u7279\u5b9a\u7528\u4f8b\u81ea\u5b9a\u4e49\u6211\u4eec [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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