{"id":1414,"date":"2024-05-10T13:32:06","date_gmt":"2024-05-10T13:32:06","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1414"},"modified":"2024-05-10T13:32:48","modified_gmt":"2024-05-10T13:32:48","slug":"aigcquanxinlingyuyixiaobaiopenaichutiyan-dainiqingsonglejiebie","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/aigcquanxinlingyuyixiaobaiopenaichutiyan-dainiqingsonglejiebie.html","title":{"rendered":"\u3010AIGC\u3011\u5168\u65b0\u9886\u57df\uff01(\u4e00)\uff1a\u5c0f\u767dOpenai\u521d\u4f53\u9a8c \u5e26\u4f60\u8f7b\u677e\u4e86\u89e3\u548c\u8fd0\u7528\uff01"},"content":{"rendered":"

\u524d\u8a00<\/h1>\n

\u2002\u2002\u2002\u2002\u7f16\u5199\u4ee3\u7801\u4e00\u76f4\u662f\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u8f6f\u4ef6\u5f00\u53d1\u7684\u6838\u5fc3\u6d3b\u52a8\u3002\u7136\u800c\uff0c\u968f\u7740AIGC<\/strong>\u9886\u57df\u7684\u5174\u8d77\uff0c\u6211\u4eec\u6b63\u8fce\u6765\u4e00\u573a\u9769\u547d\uff0c\u5b83\u5c06\u6c38\u4e45\u6027\u5730\u6539\u53d8\u6211\u4eec\u7f16\u5199\u4ee3\u7801\u7684\u65b9\u5f0f\uff01\u4eca\u5929\u5c31\u8ba9\u6211\u4eec\u6765\u4e00\u8d77\u4f53\u9a8c\u4f53\u9a8c\uff0cAI\u80fd\u7ed9\u6211\u4eec\u5e26\u6765\u4ec0\u4e48\u4fbf\u5229\u548c\u53d8\u5316\u3002<\/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

Customer_service<\/h2>\n

\u2002\u2002\u2002\u2002\u6211\u4eec\u5148\u6765\u8bd5\u8bd5\u4e00\u4e2a\u6700\u7b80\u5355\u7684AI\u5ba2\u670d<\/strong>\u7684\u4f8b\u5b50\u3002<\/p>\n

\u2002\u2002\u2002\u2002\u6211\u4eec\u5148\u8ba9\u65b0\u5efa\u7684\u7b14\u8bb0\u672c\u5b89\u88c5\u4e00\u4e2aopenai<\/strong>\uff1a<\/p>\n

<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>!pip install openai==0.10<\/span>.2<\/span><\/span>\n<\/code><\/pre>\n
\n
\"5.png\"<\/figure>\n<\/p>\n
\u2002\u2002\u2002\u2002\u518d\u8fdb\u884c\u5ba2\u670d\u6a21\u5757\u7684\u4e00\u7cfb\u5217\u8c03\u8bd5\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># \u57fa\u4e8eopenai \u7684\u5927\u6a21\u578b\u6765\u5f3a\u5316\u5ba2\u670d<\/span><\/span>\nimport<\/span> openai<\/span>\n# api_key<\/span><\/span>\nopenai.api_key=\"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\"<\/span><\/span>\n# \u5e38\u91cf \u6587\u672c\u751f\u6210\u7684\u6a21\u578b<\/span><\/span>\nCOMPLETION_MODEL=\"text-davinci-003\"<\/span><\/span>\n# \u7cfb\u7edf\u540e\u53f0\u751f\u6210\u4e86\u4e00\u6761\u8bb0\u5f55\uff0c\u518d\u8c03\u7528\u6211\u4eec\u8fd9\u4e2aAIGC\u6765\u751f\u6210\u5ba2\u670d<\/span><\/span>\nprompt=\"\"\"\u8bf7\u4f60\u4f7f\u7528\u670b\u53cb\u7684\u8bed\u6c14\u56de\u590d\u5ba2\u6237\uff0c\u5e76\u79f0\u4ed6\u4e3a\u4eb2\uff0c\u4ed6\u7684\u8ba2\u5355\u5df2\u7ecf\u53d1\u8d27\u5728\u8def\u4e0a\u4e86\uff0c<\/span><\/span>\n\u9884\u8ba1\u5728\u4e09\u5929\u4e4b\u5185\u4f1a\u9001\u8fbe\uff0c\u8ba2\u5355\u53f72021AEDG\uff0c\u6211\u4eec\u5f88\u62b1\u6b49\u56e0\u4e3a\u5929\u6c14\u7684\u539f\u56e0\u7269\u6d41\u65f6\u95f4\u6bd4\u539f\u6765\u957f\uff0c<\/span>\n\u611f\u8c22\u4ed6\u9009\u8d2d\u6211\u4eec\u7684\u5546\u54c1\u3002\"\"\"<\/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\u7684Completion\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>, # \u6700\u5927\u7b97\u529b<\/span><\/span>\n      n=1<\/span>, # \u8fd4\u56de\u4e00\u6761\u7ed3\u679c<\/span><\/span>\n      # null True<\/span><\/span>\n      stop=None<\/span>, # \u5185\u5bb9\u6ca1\u6709\u6267\u884c\u5b8c\u4e0d\u8981\u505c\u4e0b\u6765<\/span><\/span>\n      temperature=temperature<\/span>\n  )<\/span>\n  # \u8fd4\u56de\u7684\u7ed3\u679c\u7531JSON\u8fd4\u56de\u4e3atext<\/span><\/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\u6700\u540e\u8ba9\u6211\u4eec\u6765\u770b\u770b\u6548\u679c\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>print<\/span>(get_response(prompt))<\/span>\n<\/code><\/pre>\n
\n
\"6.png\"<\/figure>\n<\/p>\n
\u2002\u2002\u2002\u2002\u201c\u4eb2\u7231\u7684\u5ba2\u4eba\uff0c\u60a8\u7684\u8ba2\u53552021AEDG\u5df2\u7ecf\u53d1\u8d27\u5728\u8def\u4e0a\u5566\uff01\u6211\u4eec\u786e\u4fe1\u5b83\u4f1a\u5728\u4e09\u5929\u5185\u9001\u8fbe\uff0c\u4ee5\u53ca\u6bd4\u539f\u6765\u7684\u65f6\u95f4\u9884\u8ba1\u957f\u70b9\u3002\u6211\u4eec\u5f88\u62b1\u6b49\u7ed9\u60a8\u5e26\u6765\u4e86\u4e0d\u4fbf\uff0c\u4f46\u662f\u611f\u8c22\u60a8\u7ed9\u4e88\u6211\u4eec\u7684\u4fe1\u4efb\u548c\u652f\u6301\uff0c\u7528\u4e86\u6211\u4eec\u7684\u5546\u54c1\u3002\u5982\u679c\u60a8\u6709\u4efb\u4f55\u95ee\u9898\uff0c\u6211\u4eec\u5c06\u5c3d\u5feb\u4e3a\u60a8\u89e3\u51b3\u3002\u518d\u6b21\u611f\u8c22\u60a8\u7684\u60e0\u987e\uff01<\/code>\u201d\u8fd9\u4e00\u6bb5\u5c31\u662f\u6211\u4eec\u60f3\u8981\u62ff\u5230\u7684\u7ed3\u679c\uff0c\u4e5f\u5c31\u662f\u5ba2\u6237\u5f97\u5230\u7684\u53cd\u9988\u3002\u600e\u4e48\u6837\uff1f\u662f\u4e0d\u662f\u5f88\u7b80\u5355\uff1f\u8ba9\u6211\u4eec\u518d\u6765\u8bd5\u8bd5\u5176\u4ed6\u7684\u3002<\/p>\n
Sentiment-analysis<\/h2>\n
\u2002\u2002\u2002\u2002\u60c5\u7eea\u5206\u6790\uff08sentiment-analysis\uff09\uff0c\u6839\u636e\u5b57\u9762\u610f\u601d\u6211\u4eec\u5c31\u80fd\u7406\u89e3\u8fd9\u4e2a\u6a21\u5757\u5c31\u662f\u7528\u6765\u8fdb\u884c\u5206\u6790\u60c5\u7eea\u7684\uff0c\u6bd4\u5982\u5206\u8fa8\u51fa\u662f\u79ef\u6781\u7684\u8fd8\u662f\u6d88\u6781\u7684\uff0c\u7a0b\u5ea6\u5982\u4f55\u7b49\u7b49\u3002\u63a5\u4e0b\u6765\u6211\u4eec\u6765\u8bd5\u8bd5\u8fd9\u4e2a\u6a21\u5757\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>!pip install transformers  # \u5b89\u88c5\u4e00\u4e2atransformers --- huggingface\u7684\u6838\u5fc3\u5e93<\/span><\/span>\n<\/code><\/pre>\n
\n
\"7.png\"<\/figure>\n<\/p>\n
\u2002\u2002\u2002\u2002\u7136\u540e\u6211\u4eec\u6765\u5b89\u88c5\u4e00\u4e0b\u60c5\u7eea\u5206\u6790\u548c\u6d3e\u53d1\u6a21\u5757\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from<\/span> transformers import<\/span> pipeline # pipeline \u6d3e\u53d1\u6a21\u5757\uff0c\u7528\u4e8e\u5206\u53d1\u4efb\u52a1 \u2014\u2014 pipeline(task, model)<\/span><\/span>\nclassifer = pipeline('sentiment-analysis'<\/span>) # \u60c5\u611f\u5206\u6790<\/span><\/span>\n<\/code><\/pre>\n
\n
\"8.png\"<\/figure>\n<\/p>\n
\u2002\u2002\u2002\u2002\u63a5\u4e0b\u6765\u6211\u4eec\u5c31\u53ef\u4ee5\u8bd5\u4e00\u8bd5\u5bf9\u4e8e\u5404\u4e2a\u8bcdAI\u5bf9\u5b83\u7684\u8ba4\u8bc6\u662f\u600e\u6837\u7684\uff0c\u7136\u540e\u8fd0\u884c\u770b\u770b\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>result = classifer('I love you'<\/span>)<\/span>\nresult<\/span>\n<\/code><\/pre>\n
\u2002\u2002\u2002\u2002\u8fd4\u56de\u7ed3\u679c\uff1a[{'label': 'POSITIVE', 'score': 0.9998656511306763}]<\/code><\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>result = classifer('thank you'<\/span>)<\/span>\nresult<\/span>\n<\/code><\/pre>\n
\u2002\u2002\u2002\u2002\u8fd4\u56de\u7ed3\u679c\uff1a[{'label': 'POSITIVE', 'score': 0.9998352527618408}]<\/code><\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>result = classifer('shut up'<\/span>)<\/span>\nresult<\/span>\n<\/code><\/pre>\n
\u2002\u2002\u2002\u2002\u8fd4\u56de\u7ed3\u679c\uff1a[{'label': 'NEGATIVE', 'score': 0.9992936849594116}]<\/code><\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>result = classifer('\u9065\u9065\u9886\u5148'<\/span>)<\/span>\nresult<\/span>\n<\/code><\/pre>\n
\u2002\u2002\u2002\u2002\u8fd4\u56de\u7ed3\u679c\uff1a[{'label': 'NEGATIVE', 'score': 0.8616330027580261}]<\/code><\/p>\n
\u2002\u2002\u2002\u2002'label'<\/code>\u7ed9\u6211\u4eec\u5c55\u793a\u4e86\u8fd9\u4e2a\u8bcd\u662f\u79ef\u6781\u7684\u8fd8\u662f\u6d88\u6781\u7684\uff0c'score'<\/code>\u662f\u4e00\u4e2a\u76f8\u4f3c\u503c\u8ba9\u6211\u4eec\u6709\u4e00\u4e2a\u503c\u80fd\u591f\u53c2\u8003\u3002<\/p>\n
\u2002\u2002\u2002\u2002\u524d\u9762\u51e0\u4e2a\u4f8b\u5b50\u5c5e\u4e8e\u6b63\u5e38\uff0c\u4f46\u6211\u4eec\u5728\u6700\u540e\u4e00\u4e2a'\u9065\u9065\u9886\u5148'<\/code>\u7684\u8bcd\u65f6\uff0c\u5728\u6211\u4eec\u73b0\u6709\u7684\u7406\u89e3\u5e94\u8be5\u662f\u79ef\u6781\u7684\uff0c\u4f46AI\u53ef\u80fd\u7531\u4e8e\u6570\u636e\u4e0d\u8db3\u7b49\u539f\u56e0\u5bfc\u81f4\u4e86\u8bef\u5224\u3002\u6709\u4ec0\u4e48\u89e3\u51b3\u529e\u6cd5\u5417\uff1f\u5f53\u7136\u6709\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># \u4e2d\u6587\u6a21\u578b \u5927\u4f17\u70b9\u8bc4\u7684\u4ebf\u4e07\u6761\u6570\u636e\u8bad\u7ec3\u51fa\u6765\u7684<\/span><\/span>\nclassifer = pipeline('sentiment-analysis'<\/span>, model=\"uer\/roberta-base-finetuned-dianping-chinese\"<\/span>) # pipeline \u6d3e\u53d1\u4e00\u4e2a\u4efb\u52a1<\/span><\/span>\n<\/code><\/pre>\n
\n
\"9.png\"<\/figure>\n<\/p>\n
\u2002\u2002\u2002\u2002\u8ba9\u6211\u4eec\u5b89\u88c5\u4e00\u4e2a\u7ecf\u8fc7\u8bad\u7ec3\u7684\u4e2d\u6587\u6a21\u578b\uff0c\u8fd9\u6837AI\u5c31\u80fd\u66f4\u597d\u5730\u7406\u89e3\u4e2d\u6587\u7684\u610f\u601d\u3002\u73b0\u5728\u8ba9\u6211\u4eec\u518d\u6765\u770b\u770b\u8c03\u6559\u4e4b\u540e\u7684\u7ed3\u679c\uff1a<\/p>\n
<\/div>
python<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>result = classifer('\u9065\u9065\u9886\u5148'<\/span>)<\/span>\nresult<\/span>\n<\/code><\/pre>\n
\u2002\u2002\u2002\u2002\u8fd4\u56de\u7ed3\u679c\uff1a[{'label': 'positive (stars 4 and 5)', 'score': 0.941333532333374}]<\/code><\/p>\n
\u2002\u2002\u2002\u2002\u8fd9\u65f6\u6211\u4eec\u5c31\u80fd\u5f88\u660e\u663e\u5730\u770b\u5230\u8fd4\u56de\u7ed3\u679c\u88ab\u201c\u77eb\u6b63\u201d\u8fc7\u6765\u4e86\u3002<\/p>\n
\u7ed3\u8bed<\/h1>\n
\u2002\u2002\u2002\u2002\u4eca\u5929\u6211\u4eec\u7b80\u5355\u4f53\u9a8c\u4e86\u4e00\u4e0bAI\u7684\u4f7f\u7528\u548c\u8c03\u8bd5\uff0c\u662f\u4e0d\u662f\u611f\u89c9\u5f88\u65b0\u5947\uff1f\u8fd9\u4ec5\u4ec5\u662f\u4e00\u4e2a\u5f00\u59cb\uff0c\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":"
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