{"id":1423,"date":"2024-05-11T05:35:20","date_gmt":"2024-05-11T05:35:20","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1423"},"modified":"2024-05-11T05:35:37","modified_gmt":"2024-05-11T05:35:37","slug":"aigcquanxinlingyusanqingganfenxigenglihaideopenai","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/aigcquanxinlingyusanqingganfenxigenglihaideopenai.html","title":{"rendered":"\u3010AIGC\u3011\u5168\u65b0\u9886\u57df\uff01(\u4e09)\uff1a\u60c5\u611f\u5206\u6790\u66f4\u5389\u5bb3\u7684OpenAI\uff01"},"content":{"rendered":"

\u524d\u8a00<\/h1>\n

\u2002\u2002\u2002\u2002\u4e0a\u7bc7\u6587\u7ae0\u6211\u4eec\u4f53\u9a8c\u4e86\u4e00\u4e0b\u56fe\u50cf\u8bc6\u522b\uff0c\u4eca\u5929\u6211\u4eec\u7ee7\u7eed\u5e26\u5927\u5bb6\u6765\u8fdb\u884c\u7ec3\u4e60\u548c\u66f4\u52a0\u6df1\u5165\u7684\u4e86\u89e3\u3002\u8bdd\u4e0d\u591a\u8bf4\uff0c\u8ba9\u6211\u4eec\u5f00\u59cb\u5427\uff01<\/p>\n

\u6b63\u6587<\/h1>\n

Colaboratory<\/h2>\n

\u2002\u2002\u2002\u2002Colaboratory\uff08\u901a\u5e38\u7b80\u79f0Colab\uff09\u662f\u7531Google\u5f00\u53d1\u548c\u63d0\u4f9b\u7684\u514d\u8d39\u7684\u4e91\u7aefJupyter\u7b14\u8bb0\u672c\u73af\u5883\u3002\u9002\u7528\u4e8ePython\u7f16\u7a0b\u3001\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\uff0c\u4f7f\u7528\u6237\u80fd\u591f\u65e0\u9700\u62c5\u5fc3\u672c\u5730\u8ba1\u7b97\u8d44\u6e90\u7684\u9650\u5236\uff0c\u8f7b\u677e\u8fdb\u884c\u5404\u79cd\u8ba1\u7b97\u4efb\u52a1\u3002\u5728\u6211\u4eec\u62e5\u6709\u4e00\u4e2aGoogle\u8d26\u53f7<\/strong>\u4e4b\u540e\uff0c\u6211\u4eec\u5c06\u4f7f\u7528Colab\u6765\u8fdb\u884c\u6211\u4eec\u7684\u5b66\u4e60\u3002<\/p>\n

\u2002\u2002\u2002\u2002\u9996\u5148\u8ba9\u6211\u4eec\u8fdb\u5165\u5b98\u7f51\uff1acolab.research.google.com\/<\/a> \u3002\u968f\u540e\u8ba9\u6211\u4eec\u627e\u5230\u6587\u4ef6<\/strong>–>\u7136\u540e\u65b0\u5efa\u7b14\u8bb0\u672c<\/strong>\uff08\u5982\u4e0b\u56fe\uff09\uff1a<\/p>\n

\n

\"3.png\"<\/figure>\n<\/p>\n

\u2002\u2002\u2002\u2002\u8df3\u8f6c\u5230\u4e4b\u540e\u7684\u754c\u9762\u6211\u4eec\u5c31\u53ef\u4ee5\u5f00\u59cb\u7f16\u5199\u6211\u4eec\u7684\u4ee3\u7801\u4e86\uff0c\u70b9\u51fb\u5de6\u8fb9\u7684\u201c\u64ad\u653e\u6309\u94ae<\/strong>\u201d\u53ef\u4ee5\u8fd0\u884c\u5f53\u524d\u6846\u5185\u7684\u4ee3\u7801\uff0c\u5f53\u7136\u8fd0\u884c\u5b8c\u6bcf\u6b21\u7684\u4ee3\u7801\u540e\uff0c\u901a\u8fc7\u70b9\u51fb\u201c+\u4ee3\u7801<\/strong>\u201d\u6765\u8fdb\u884c\u65b0\u7684\u4ee3\u7801\u7f16\u5199\uff08\u5982\u4e0b\u56fe\uff09\uff1a<\/p>\n

\n

\"4.png\"<\/figure>\n<\/p>\n

\u2002\u2002\u2002\u2002\u8fd9\u6837\u4f60\u5c31\u5b66\u4f1a\u4e86\u57fa\u672c\u7684\u4f7f\u7528\u65b9\u6cd5\u5566~<\/p>\n

\u60c5\u611f\u5206\u6790<\/h2>\n

\u2002\u2002\u2002\u2002\u4e0d\u77e5\u9053\u5927\u5bb6\u8bb0\u4e0d\u8bb0\u5f97\u6211\u4eec\u7b2c\u4e00\u7bc7\u521d\u4f53\u9a8cOpenAI\u7684\u6587\u7ae0\uff0c\u5f53\u65f6\u6211\u4eec\u57fa\u4e8etransformers<\/strong> — \u4e5f\u5c31\u662fhuggingface<\/strong>\u7684\u6838\u5fc3\u5e93\u5b8c\u6210\u4e86\u4e00\u4e2a\u60c5\u611f\u5206\u6790<\/strong>\u7684\u4efb\u52a1\u3002\u4eca\u5929\uff0c\u6211\u4eec\u6765\u8bd5\u8bd5\u5347\u7ea7\u7248\uff01<\/p>\n

\u2002\u2002\u2002\u2002\u8fd9\u6b21\u6211\u4eec\u7528OpenAI<\/strong>\u6765\u5b8c\u6210\u8fd9\u4e2a\u4efb\u52a1\uff1a<\/p>\n

<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># openai \u60c5\u611f\u5206\u7c7b\u66f4\u5389\u5bb3 Completions<\/span><\/span>\n!pip install openai==0.10<\/span>.2<\/span> # \u6307\u5b9a\u7248\u672c<\/span><\/span>\n<\/code><\/pre>\n
\u2002\u2002\u2002\u2002\u8001\u6837\u5b50\uff0c\u5148\u5b89\u88c5\u6211\u4eec\u7684OpenAI\u3002<\/p>\n
\n
\"2.png\"<\/figure>\n<\/p>\n
\u2002\u2002\u2002\u2002\u7136\u540e\u5bf9OpenAI\u8fdb\u884c\u8c03\u8bd5<\/strong>\uff0c\u8f93\u5165api_key<\/code>\u3001\u5c01\u88c5\u529f\u80fd<\/code>\u3001\u8bbe\u7f6e\u6700\u5927\u7b97\u529b<\/code>\u3001\u56de\u590d\u6570\u91cf<\/code>\u7b49\u7b49\u7b49\u7b49\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># \u57fa\u4e8eopenai \u7684\u5927\u6a21\u578b\u6765\u5f3a\u5316<\/span><\/span>\nimport<\/span> openai<\/span>\n# \u5e38\u91cf \u6587\u672c\u751f\u6210\u7684\u6a21\u578b<\/span><\/span>\nCOMPLETION_MODEL = 'text-davinci-003'<\/span><\/span>\n# api_key<\/span><\/span>\nopenai.api_key=\"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\"<\/span><\/span>\n# \u5c01\u88c5\u4e86openai\u56de\u590d\u7684\u529f\u80fd<\/span><\/span>\ndef<\/span> get_response<\/span>(prompt, temperature=1.0<\/span><\/span>):<\/span>\n  # Completion\u6a21\u5757<\/span><\/span>\n  # \u751f\u6210\u5185\u5bb9 \u540c\u6b65\u7684<\/span><\/span>\n  # \u8c03\u7528openai\u5e93\u7684Comletion\u6a21\u5757\uff0c\u521b\u5efa\u4e00\u4e2a\u65b0\u7684<\/span><\/span>\n  # \u5b57\u5178 {key:value}<\/span><\/span>\n  completions = openai.Completion.create(<\/span>\n      engine = COMPLETION_MODEL,<\/span>\n      prompt = prompt,<\/span>\n      max_tokens = 1024<\/span>,<\/span>\n      n = 1<\/span>,<\/span>\n      # None\u662f\u5173\u952e\u5b57Null True<\/span><\/span>\n      stop = None<\/span>,<\/span>\n      temperature=temperature<\/span>\n  )<\/span>\n  print<\/span>(completions)<\/span>\n  message = completions.choices[0<\/span>].text<\/span>\n  return<\/span> message<\/span>\n<\/code><\/pre>\n
\u2002\u2002\u2002\u2002\u8fd0\u884c\u597d\u4e4b\u540e\uff0c\u63a5\u4e0b\u6765\u8981\u505a\u7684\u5c31\u662f\u5bf9OpenAI\u8fdb\u884c\u201c\u8bad\u7ec3<\/strong>\u201d\uff0c\u8fdb\u884c\u4e3e\u4f8b\u3001\u7ed9\u5b83\u6570\u636e\u8fdb\u884c\u5206\u6790<\/strong>\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># openai \u5f00\u53d1\u8303\u5f0f<\/span><\/span>\n# NLP\u4efb\u52a1\u4ecetransformers coding\u5347\u7ea7\u4e3aopenai prompt engineer<\/span><\/span>\n# prompt \u8bbe\u8ba1\uff1a\u7cbe\u7ec6\u5316\u7684\u9700\u8981\uff08\u544a\u8bc9\u5b83\u6211\u4eec\u7684\u9700\u6c42\u662f\u4ec0\u4e48\uff09 \u8fdb\u884c\u4e3e\u4f8b \u7ed9\u51fa\u6570\u636e<\/span><\/span>\nprompts = \"\"\"\u5224\u65ad\u4e00\u4e0b\u7528\u6237\u7684\u8bc4\u8bba\u60c5\u611f\u4e0a\u662f\u6b63\u9762\u7684\u8fd8\u662f\u8d1f\u9762\u7684<\/span><\/span>\n\u8bc4\u8bba\uff1a\u4e70\u7684\u94f6\u8272\u7248\u771f\u7684\u5f88\u597d\u770b\uff0c\u4e00\u5929\u5c31\u5230\u4e86\uff0c\u665a\u4e0a\u5c31\u5f00\u59cb\u62ff\u8d77\u6765\u5b8c\u7cfb\u7edf\u5f88\u4e1d\u6ed1\u6d41\u7545\uff0c\u505a\u5de5\u624e\u5b9e\uff0c\u624b\u611f\u7ec6\u817b\uff0c\u5f88\u7cbe\u81f4\u54e6\u534e\u4e3a\u4e00\u5982\u65e2\u5f80\u7684\u597d\u54c1\u8d28<\/span>\n\u60c5\u611f\uff1a\u6b63\u9762<\/span>\n<\/span>\n\u8bc4\u8bba\uff1a\u968f\u610f\u964d\u4ef7\uff0c\u4e0d\u4e88\u4ef7\u4fdd\uff0c\u670d\u52a1\u6001\u5ea6\u5dee<\/span>\n\u60c5\u611f\uff1a\u8d1f\u9762<\/span>\n\"\"\"<\/span>\n<\/span>\ngood_case = prompts + \"\"\"<\/span><\/span>\n\u8bc4\u8bba\uff1a\u5916\u5f62\u5916\u89c2\uff1a\u82f9\u679c\u5ba1\u7f8e\u4e00\u76f4\u5f88\u597d\uff0c\u91d1\u8272\u975e\u5e38\u6f02\u4eae\u62cd\u7167\u6548\u679c\uff1a14pro\u5347\u7ea7\u76844800\u4e07\u50cf\u7d20\u771f\u7684\u662f\u6ca1\u7684\u8bf4\uff0c\u592a\u597d\u4e86\uff0c\u8fd0\u884c\u901f\u5ea6\uff1a\u82f9\u679c\u7684\u53cd\u5e94\u901f\u5ea6\u597d\uff0c\u7528\u4e0a\u4e09\u4e94\u5e74\u4e5f\u4e0d\u4f1a\u5361\u987f\u7684\uff0c\u4e4b\u524d\u76847P\u7528\u5230\u73b0\u5728\u4e5f\u4e0d\u5361<\/span>\n\u5176\u4ed6\u7279\u8272\uff1a14pro\u7684\u78e8\u7802\u91d1\u771f\u7684\u592a\u597d\u770b\u4e86\uff0c\u4e0d\u592a\u9ad8\u8c03\uff0c\u4e5f\u4e0d\u81f3\u4e8e\u6ca1\u6709\u7279\u70b9\uff0c\u975e\u5e38\u8010\u770b\uff0c\u5f88\u597d\u7684<\/span>\n\u60c5\u611f\uff1a<\/span>\n\"\"\"<\/span>\ngood_case<\/span>\n<\/code><\/pre>\n
\u2002\u2002\u2002\u2002\u4e0a\u9762\u4e24\u6761\u8bc4\u8bba\u662f\u6211\u4eec\u7ed9AI\u7684\u6837\u672c<\/strong>\uff0c\u5b83\u5c31\u4f1a\u5bf9\u53e5\u5b50\u8fdb\u884c\u62c6\u5206<\/strong>\u548c\u7406\u89e3<\/strong>\uff1b\u6700\u540e\u4e00\u4e2a\u8bc4\u8bba\u6211\u4eec\u6ca1\u6709\u6807\u660e\u60c5\u611f\u662f\u6b63\u9762\u8fd8\u662f\u8d1f\u9762\uff0c\u8fd9\u5c31\u662f\u6211\u4eec\u7ed9\u4e88\u5b83\u8fdb\u884c\u5224\u65ad\u7684\u9898\u76ee\u3002\u8ba9\u6211\u4eec\u8bd5\u8bd5\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>print<\/span>(get_response(good_case))<\/span>\n<\/code><\/pre>\n
\n
\"3.png\"<\/figure>\n<\/p>\n
\u2002\u2002\u2002\u2002\u5224\u65ad\u7684\u7ed3\u679c\u662f\u201c\u6b63\u9762<\/strong>\u201d\uff0c\u6beb\u65e0\u7591\u95ee\u662f\u6b63\u786e\u7684\uff0c\u8fd9\u5c31\u8bf4\u660e\u6211\u4eec\u8bad\u7ec3\u6210\u529f\u4e86\uff01<\/p>\n
\u7ed3\u8bed<\/h1>\n
\u2002\u2002\u2002\u2002\u4eca\u5929\u6211\u4eec\u5e26\u5927\u5bb6\u4f53\u9a8c\u4e86\u4e00\u4e0bOpenAI<\/code>\u662f\u5982\u4f55\u8fdb\u884c\u60c5\u611f\u5206\u6790\u7684\uff0c\u76f8\u8f83\u4e8e\u4e4b\u524d\u4f7f\u7528\u7684transformers<\/code>\uff0cOpenAI\u4f7f\u7528\u8d77\u6765\u66f4\u7b80\u5355<\/strong>\uff0c\u8fd0\u884c\u80fd\u529b\u4e5f\u66f4\u5f3a<\/strong>\uff01\u611f\u89c9\u600e\u4e48\u6837\uff1f\u4e4b\u540e\u8fd8\u4f1a\u5e26\u5927\u5bb6\u8fdb\u884c\u66f4\u591a\u5730\u5c1d\u8bd5\uff01\u5982\u679c\u5bf9\u6587\u7ae0\u611f\u5174\u8da3\u7684\u8bdd\uff0c\u8fd8\u5e0c\u671b\u80fd\u7ed9\u535a\u4e3b\u4e00\u4e2a\u514d\u8d39\u7684\u5c0f\u5fc3\u5fc3\u2661\u5440~<\/p>","protected":false},"excerpt":{"rendered":"
\u4eca\u5929\u6211\u4eec\u5e26\u5927\u5bb6\u4f53\u9a8c\u4e00\u4e0bOpenAI\u662f\u5982\u4f55\u8fdb\u884c\u60c5\u611f\u5206\u6790\u7684\uff0c\u76f8\u8f83\u4e8e\u4e4b\u524d\u4f7f\u7528\u7684transformers\uff0cOpenAI\u4f7f\u7528\u8d77\u6765\u66f4\u7b80\u5355\uff0c\u8fd0\u884c\u80fd\u529b\u4e5f\u66f4\u5f3a\uff01<\/p>\n","protected":false},"author":1,"featured_media":8416,"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":"5","footnotes":""},"categories":[3],"tags":[126,127,128,129,136],"collection":[],"class_list":["post-1423","post","type-post","status-publish","format-standard","has-post-thumbnail","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\/1423","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=1423"}],"version-history":[{"count":0,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1423\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media\/8416"}],"wp:attachment":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media?parent=1423"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/categories?post=1423"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/tags?post=1423"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/collection?post=1423"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}