{"id":1919,"date":"2024-06-01T21:41:22","date_gmt":"2024-06-01T21:41:22","guid":{"rendered":"https:\/\/www.nicekj.com\/?p=1919"},"modified":"2024-06-01T21:41:34","modified_gmt":"2024-06-01T21:41:34","slug":"chatgptkaifarumen","status":"publish","type":"post","link":"https:\/\/www.nicekj.com\/chatgptkaifarumen.html","title":{"rendered":"ChatGPT\u5f00\u53d1\u5165\u95e8"},"content":{"rendered":"

\u5c3d\u7ba1\u524d\u8d74\u540e\u7ee7\u6709\u5404\u79cd\u5382\u5546\u58f0\u79f0\u5728\u67d0\u4e9b\u57fa\u51c6\u6d4b\u8bd5\u4e0a\u8d85\u8d8a\u4e86GPT 4\uff0cOpenAI\u65d7\u4e0b\u7684ChatGPT\u4ecd\u7136\u662f\u7528\u6237\u91cf\u6700\u9ad8\u4e14\u516c\u8ba4\u7684\u6700\u4f18\u8d28\u7684\u4eba\u5de5\u667a\u80fd\u4ea7\u54c1\u3002OpenAI\u5728GPT 2\u4e4b\u540e\u5c31\u4e0d\u518d\u5f00\u6e90\u5176\u5927\u6a21\u578b\uff0c\u8fd9\u4e5f\u6b63\u662f\u9a6c\u65af\u514b\u5410\u69fd\u5176\u5e94\u6539\u540d\u4e3aClosedAI\u3002\u5927\u4f6c\u4eec\u7684\u53e3\u6c34\u6218\u4e0e\u6211\u7b49\u65e0\u5173\uff0c\u5bf9\u4e8e\u5f00\u53d1\u8005\u6765\u8bf4\uff0c\u8981\u5728\u81ea\u5df1\u7684\u7cfb\u7edf\u91cc\u96c6\u6210\u4f18\u79c0\u7684 GPT\uff0c\u5c31\u9700\u8981\u901a\u8fc7\u8c03\u7528\u5176 API\u3002<\/p>\n

\u5982\u4f55\u83b7\u53d6API Key\uff1f<\/h2>\n

\u8c03\u7528 OpenAI\u7684 API \u65e0\u9700\u8ba2\u9605ChatGPT Plus\u3002\u6211\u4eec\u77e5\u9053OpenAI\u5728 APP \u7aef\u548c\u7f51\u9875\u7aef\u90fd\u63d0\u4f9b\u6709\u5176\u4e8e GPT 3.5\u7684\u514d\u8d39\u5bf9\u8bdd\u670d\u52a1\uff0c\u800cChatGPT Plus \u662f\u4e3a\u5e0c\u671b\u4f7f\u7528GPT 4\u3001GPT Store\u53ca\u591a\u6a21\u6001\u7b49\u529f\u80fd\u7684\u7528\u6237\u6240\u63d0\u4f9b\u7684\u4ed8\u8d39\u8ba2\u9605\u670d\u52a1\u3002\u6211\u4eec\u83b7\u53d6 API Key\u4e0eChatGPT Plus\u5e76\u65e0\u76f4\u63a5\u5173\u8054\uff0c\u5b83\u4e3b\u8981\u8981\u6c42\u7ed1\u5b9a\u4fe1\u7528\u5361\u4ee5\u4f9b\u6309\u4f7f\u7528\u91cf\u6263\u6b3e\u3002\u7ed1\u5b9a\u4fe1\u7528\u5361\u53ef\u8bbf\u95ee\u8d26\u5355\u4fe1\u606f\u9875\u9762<\/a>\u3002\u6210\u529f\u7ed1\u5b9a\u4fe1\u7528\u5361\u540e\u8fdb\u5165API keys<\/a>\u9875\u9762\u70b9\u51fbCreate new secret key\u521b\u5efa\u4e00\u4e2a\u4ee5sk-<\/code>\u5f00\u5934API Key\u3002<\/p>\n

\u5982\u4f55\u4f7f\u7528API Key\uff1f<\/h2>\n

API Key\u5e94\u59a5\u5584\u4fdd\u7ba1\uff0c\u6700\u4f73\u5b9e\u8df5\u662f\u4e0d\u5728\u4ee3\u7801\u4e2d\u660e\u6587\u6dfb\u52a0API Key\u3002\u5e38\u89c1\u7684\u505a\u6cd5\u662f\u6dfb\u52a0\u5230\u73af\u5883\u53d8\u91cf\u4e2d\uff0c\u5728 Linux\u6216Mac\u547d\u4ee4\u884c\u4e2d\u7684\u8bbe\u7f6e\u65b9\u6cd5\u662f\uff1a<\/p>\n

<\/div>
bash<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># \u5728\u5f53\u524d\u4f1a\u8bdd\u4e2d\u8bbe\u7f6eOPENAI_API_KEY\u73af\u5883\u53d8\u91cf<\/span><\/span>\nexport<\/span> OPENAI_API_KEY=sk-(...)<\/span>\n# \u68c0\u6d4b\u73af\u5883\u53d8\u91cf\u662f\u5426\u5df2\u8bbe\u7f6e<\/span><\/span>\necho<\/span> $OPENAI_API_KEY<\/span><\/span>\n<\/code><\/pre>\n
\u5728Windows\u4e0b\u547d\u4ee4\u7a0d\u6709\u4e0d\u540c\uff1a<\/p>\n
<\/div>
bash<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># \u5728\u5f53\u524d\u4f1a\u8bdd\u4e2d\u8bbe\u7f6eOPENAI_API_KEY\u73af\u5883\u53d8\u91cf<\/span><\/span>\nset<\/span> OPENAI_API_KEY=sk-(...)<\/span>\n# \u68c0\u6d4b\u73af\u5883\u53d8\u91cf\u662f\u5426\u5df2\u8bbe\u7f6e<\/span><\/span>\necho<\/span> %OPENAI_API_KEY%<\/span>\n<\/code><\/pre>\n
\u4ee5\u4e0a\u662f\u57fa\u4e8e Shell\u4f1a\u8bdd\u7684\u8bbe\u7f6e\u65b9\u6cd5\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u5c06\u73af\u5883\u53d8\u91cf\u8bbe\u7f6e\u5230\u5168\u5c40\uff0c\u65b9\u4fbf\u5728\u6240\u6709\u7a0b\u5e8f\u4e2d\u8c03\u7528\uff0cLinux\u548c Mac \u4e2d\u53ef\u5728 .bashrc<\/code>\u3001.zshrc<\/code>\u7b49\u6587\u4ef6\u4e2d\u6dfb\u52a0\u76f8\u5e94\u547d\u4ee4\u3002Windows\u4e0b\u5219\u662f\u5728\u7cfb\u7edf\u5c5e\u6027\uff08sysdm.cpl<\/code>\uff09\u7684\u9ad8\u7ea7\u6807\u7b7e\u9875\u8bbe\u7f6e\u5168\u5c40\u73af\u5883\u53d8\u91cf\u3002<\/p>\n
\n
\"Windows<\/figure>\n<\/p>\n
\u6709\u5173API Key\u7684\u6700\u4f73\u5b9e\u8df5\u53ca\u8bbe\u7f6e\u65b9\u6cd5\u4e5f\u53ef\u53c2\u9605 OpenAI \u7684\u5b98\u65b9\u6587\u6863Best Practices for API Key Safety<\/a>\u3002<\/p>\n
\u5f00\u53d1\u4e0a\u8c03\u7528OpenAI\u7684API\u901a\u5e38\u4f1a\u4f7f\u7528Python\uff0c\u5f53\u7136\u5176\u793e\u533a\u4e5f\u63d0\u4f9b\u4e86\u5176\u5b83\u4e3b\u6d41\u8bed\u8a00\u7684\u5f00\u53d1\u5305\uff0c\u4e14\u5176\u8c03\u7528\u672c\u8d28\u4e0a\u5c31\u662fHTTP\u8bf7\u6c42\uff0c\u6240\u4ee5\u5e76\u4e0d\u5c40\u9650\u4e8e\u4efb\u4f55\u7f16\u7a0b\u8bed\u8a00\u3002\u9996\u5148\u5e94\u5b89\u88c5Python\u5b98\u65b9\u5305\u3002<\/p>\n
<\/div>
<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>pip install openai<\/span>\n<\/code><\/pre>\n
\u4ece\u73af\u5883\u53d8\u91cf\u4e2d\u8bfb\u53d6\u5e76\u8bbe\u7f6eAPI Key\u7684\u65b9\u6cd5\u4e5f\u5f88\u7b80\u5355\uff1a<\/p>\n
<\/div>
arduino<\/span>
\u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>import<\/span> os<\/span>\nimport<\/span> openai<\/span>\n <\/span>\nopenai.api_key = os.environ[\"OPENAI_API_KEY\"<\/span>]<\/span>\n<\/code><\/pre>\n
\u4f46\u5982\u679c\u6309\u7167\u5b98\u65b9\u7684\u73af\u5883\u53d8\u91cf\u540d\u79f0\u8fdb\u884c\u8bbe\u7f6e\u5b9e\u9645\u4e0a\u5e76\u4e0d\u9700\u8981\u7f16\u5199\u8fd9\u6bb5\u4ee3\u7801\uff0c\u5b98\u65b9\u652f\u6301\u7684\u73af\u5883\u53d8\u91cf\u540d\u79f0\u6709\uff1a<\/p>\n
    \n
  • OPENAI_API_KEY\uff1a\u5fc5\u586b\u9879\uff0cAPI Key<\/li>\n
  • OPENAI_ORG_ID\uff1a\u975e\u5fc5\u586b\uff0c\u7ec4\u7ec7ID\uff0c\u5927\u90e8\u5206\u5f00\u53d1\u8005\u53ef\u5ffd\u7565\uff0c\u731c\u6d4b\u662f\u7528\u4e8e\u5411\u90e8\u5206\u4f01\u4e1a\u5f00\u653e\u8bd5\u7528\u6216\u9ad8\u7ea7\u529f\u80fd\uff0c\u5b98\u65b9 Python \u5e93\u4e2d\u663e\u793a\u7684\u90fd\u662forganization': '*'<\/code>\u3002<\/li>\n
  • OPENAI_BASE_URL\uff1a\u975e\u5fc5\u586b\uff0c\u9ed8\u8ba4\u503chttps:\/\/api.openai.com\/v1<\/code>\uff0c\u5728\u4f7f\u7528\u4ee3\u7406\u6216\u975e\u5b98\u65b9\u6e20\u9053\u8d2d\u4e70\u670d\u52a1\u65f6\u4f7f\u7528\u3002<\/li>\n<\/ul>\n
    \u540c\u65f6\u5728\u9879\u76ee\u4e2d\u6211\u4eec\u4e00\u822c\u901a\u8fc7\u914d\u7f6e\u6587\u4ef6\u7684\u65b9\u5f0f\u6765\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\uff0c\u521b\u5efa\u4e00\u4e2a.env<\/code>\u6587\u4ef6\uff1a<\/p>\n
    <\/div>
    ini<\/span>
    \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>OPENAI_API_KEY<\/span>=sk-xxxx<\/span>\nOPENAI_BASE_URL<\/span>=https:\/\/api.openai.com\/v1<\/span>\n<\/code><\/pre>\n
    \u5b89\u88c5dotenv\u5305\uff08pip install python-dotenv<\/code>\uff09\u8fdb\u884c\u52a0\u8f7d\u5373\u53ef\uff1a<\/p>\n
    <\/div>
    ini<\/span>
    \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>from openai import OpenAI<\/span>\nfrom dotenv import load_dotenv, find_dotenv<\/span>\n<\/span>\n_<\/span> = load_dotenv(find_dotenv())<\/span>\nclient<\/span> = OpenAI()<\/span>\n<\/code><\/pre>\n
    \u5f00\u53d1\u4e00\u4e2aHello World \u7a0b\u5e8f<\/h2>\n
    OpenAI\u7684SDK\u57281.0.0\u524d\u540e\u5e76\u4e0d\u517c\u5bb9\uff0c\u5bf9\u4e8e\u8001\u7248\u672c\u7684 SDK\uff0c\u8c03\u7528\u65b9\u6cd5\u662f\uff1a<\/p>\n
    <\/div>
    ini<\/span>
    \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>import openai<\/span>\n# Call the openai ChatCompletion endpoint<\/span><\/span>\nresponse<\/span> = openai.ChatCompletion.create(<\/span>\n    model<\/span>=\"gpt-3.5-turbo\"<\/span>,<\/span>\n    messages<\/span>=[{\"role\"<\/span>: \"user\"<\/span>, \"content\"<\/span>: \"Hello World!\"<\/span>}],<\/span>\n)<\/span>\n# Extract the response<\/span><\/span>\nprint(response[\"choices\"]<\/span>[0]<\/span>[\"message\"]<\/span>[\"content\"]<\/span>)<\/span>\n<\/code><\/pre>\n
    \u6b64\u65f6\u4f1a\u770b\u5230\u8f93\u51fa\u5185\u5bb9\uff1a<\/p>\n
    <\/div>
    css<\/span>
    \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>Hello there! How may I<\/span> assist you today?<\/span>\n<\/code><\/pre>\n
    \u800c\u57281.0.0\u4e4b\u540e\u7248\u672c\u4ee5\u4e0a\u4ee3\u7801\u4f1a\u62a5\u9519\uff1a<\/p>\n
    <\/div>
    vbnet<\/span>
    \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>APIRemovedInV1:<\/span> <\/span>\n<\/span>\nYou tried to<\/span> access openai.ChatCompletion, but this is<\/span> no longer supported in<\/span> openai>=1.0<\/span>.0<\/span> - see the README at https:\/\/github.com\/openai\/openai-python for<\/span> the API.<\/span>\n<\/span>\nYou can run `openai migrate` to<\/span> automatically upgrade your codebase to<\/span> use the 1.0<\/span>.0<\/span> interface<\/span>. <\/span>\n<\/span>\nAlternatively, you can pin your installation to<\/span> the old version, e.g. `pip install openai==0.28<\/span>`<\/span>\n<\/code><\/pre>\n
    \u62a5\u9519\u4fe1\u606f\u4e5f\u5f88\u660e\u786e\u4e86\uff0c\u5c31\u662f\u79fb\u9664\u4e86\u8fd9\u4e00 API\uff0c\u89e3\u51b3\u65b9\u6cd5\u4e00\u662f\u964d\u7ea7\u5b89\u88c5\u5305\uff0c\u5982\u6267\u884cpip install openai==0.28<\/code>\uff0c\u6216\u662f\u4f7f\u7528\u5b98\u65b9\u7684\u5de5\u5177\u4e5f\u5373openai migrate<\/code>\u547d\u4ee4\u81ea\u52a8\u5347\u7ea7\u4ee3\u7801\u3002\u8003\u8651\u5230<\/p>\n
    \u65b0\u7248\u7684\u6267\u884c\u65b9\u6cd5\uff1a<\/p>\n
    <\/div>
    ini<\/span>
    \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>client<\/span> = OpenAI()<\/span>\n<\/span>\ncompletion<\/span> = client.chat.completions.create(<\/span>\n  model<\/span>=\"gpt-3.5-turbo\"<\/span>,<\/span>\n  messages<\/span>=[<\/span>\n    {\"role\"<\/span>: \"system\"<\/span>, \"content\"<\/span>: \"You are a helpful assistant.\"<\/span>},<\/span>\n    {\"role\"<\/span>: \"user\"<\/span>, \"content\"<\/span>: \"What are some famous astronomical observatories?\"<\/span>}<\/span>\n  ]<\/span>\n)<\/span>\n<\/span>\nprint(completion)<\/span>\n<\/code><\/pre>\n
    \u6b64\u65f6\u4f1a\u8f93\u51fa\uff1a<\/p>\n
    <\/div>
    vbnet<\/span>
    \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>ChatCompletion(id='chatcmpl-97HHgGgfbu149QfJarPBBrgfcA2A5', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='There are several famous astronomical observatories around the world. Some of the most well-known ones include:nn1. The Hubble Space Telescope: While not an observatory in the traditional sense, the Hubble Space Telescope is one of the most iconic and influential astronomical instruments. It is located in low Earth orbit and has provided stunning images and data about the universe since its launch in 1990.nn2. The Mauna Kea Observatory: Located on the summit of Mauna Kea in Hawaii, this multi-institutional facility houses several world-class telescopes, including the W. M. Keck Observatory and the Subaru Telescope. It is known for its ideal observing conditions and its contribution to groundbreaking discoveries.nn3. The Arecibo Observatory: Situated in Puerto Rico, the Arecibo Observatory features the largest single-dish radio telescope in the world. It has been instrumental in the study of pulsars, gravitational waves, and the search for extraterrestrial intelligence.nn4. The Very Large Array (VLA): Located in New Mexico, USA, the VLA is a collection of 27 radio antennas that can be arranged in different configurations to conduct high-resolution imaging of celestial objects. It has provided invaluable insights into the structure and dynamics of the universe.nn5. The Chandra X-ray Observatory: Launched by NASA in 1999, the Chandra X-ray Observatory is designed to detect X-ray emissions from high-energy sources in space. It has helped scientists study black holes, supernovae, and other extreme cosmic phenomena.nn6. The Atacama Large Millimeter Array (ALMA): Situated in the Atacama Desert in Chile, ALMA is a collection of 66 high-precision antennas that observe the universe in millimeter and submillimeter wavelengths. It has revolutionized our understanding of star formation, galaxy evolution, and the origins of life.nnThese are just a few examples of the many famous observatories across the globe that contribute to our understanding of the cosmos.', role='assistant', function_call=None, tool_calls=None))], created=1711521764, model='gpt-3.5-turbo-0613', object='chat.completion', system_fingerprint=None, usage=CompletionUsage(completion_tokens=403, prompt_tokens=25, total_tokens=428))<\/span><\/span>\n<\/code><\/pre>\n
    \u53ef\u4ee5\u5728\u8fd9\u91cc\u770b\u5230\u5b98\u65b9\u5bf9\u6d88\u606f\u5c01\u88c5\u4e86\u4e00\u4e2aChatCompletionMessage<\/code>\u5bf9\u8c61\uff0c\u6240\u4ee5\u5f9c\u82e5\u6309\u4e4b\u524d\u8bbf\u95ee\u5b57\u5178\u7684\u65b9\u5f0f\u6267\u884cprint(completion[\"choices\"][0][\"message\"][\"content\"])<\/code>\uff0c\u4f1a\u62a5\u5982\u4e0b\u9519\u8bef\uff1a<\/p>\n
    <\/div>
    csharp<\/span>
    \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>TypeError: 'ChatCompletion'<\/span> object<\/span> is<\/span> not<\/span> subscriptable<\/span>\n<\/code><\/pre>\n
    \u8f93\u51fa\u5185\u5bb9\u53ea\u9700\u8981\u6309\u64cd\u4f5c\u5bf9\u8c61\u7684\u65b9\u5f0f\u6267\u884cprint(completion.choices[0].message.content)<\/code>\u5373\u53ef\u3002<\/p>\n
    \u9664\u4e86\u7f16\u5199\u4ee3\u7801\uff0cOpenAI\u4e5f\u63d0\u4f9b\u4e86\u547d\u4ee4\u884c\u8c03\u7528\u7684\u65b9\u5f0f\uff0c\u5982\uff1a<\/p>\n
    <\/div>
    lua<\/span>
    \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>openai api chat.completions.create<\/span> -m gpt-3.5<\/span>-turbo <\/span>\n    -g user \"Hello world\"<\/span><\/span>\n<\/code><\/pre>\n
    \u751f\u6210\u7ed3\u679c\u4e2d\u7684\u4e3b\u8981\u5b57\u6bb5\u6709\uff1a<\/p>\n
      \n
    • \n
      choices\uff1a\u8fd9\u662f\u5305\u542b\u6a21\u578b\u5b9e\u9645\u54cd\u5e94\u7684\u6570\u7ec4\uff0c\u901a\u5e38\u53ea\u6709\u4e00\u4e2a\u5143\u7d20\uff0c\u4f46\u53ef\u4ee5\u901a\u8fc7\u5728\u521b\u5efa\u4f1a\u8bdd\u65f6\u4f20\u5165\u53c2\u6570n<\/code>\u8fdb\u884c\u4fee\u6539\u3002\u8fd9\u4e2a\u5143\u7d20\u7684\u4e3b\u8981\u5b57\u6bb5\u6709\uff1a<\/p>\n
        \n
      • finish_reason\uff1a\u56de\u590d\u7ed3\u675f\u7684\u539f\u56e0\uff0c\u4e0a\u4f8b\u4e2d\u539f\u56e0\u4e3astop<\/code>\uff0c\u8868\u793a\u4ece\u6a21\u578b\u5f97\u5230\u4e86\u5b8c\u6574\u7684\u56de\u590d\u3002\u751f\u6210\u8f93\u51fa\u4ea7\u751f\u9519\u8bef\u65f6\uff0c\u4f1a\u5728\u8fd9\u4e00\u5b57\u6bb5\u4e2d\u6709\u76f8\u5e94\u4f53\u73b0\u3002<\/li>\n
      • index\uff1achoices \u6570\u7ec4\u4e2d\u5f53\u524d\u5bf9\u8c61\u7684\u7d22\u5f15\u3002<\/li>\n
      • message\uff1a\u5305\u542brole<\/code>\u53ca\u5185\u5bb9content<\/code>\u6216function_call<\/code>(\u672a\u6765\u4f1a\u88abtool_calls<\/code>\u66ff\u4ee3)\u3002\u6b64\u5916\u7684role<\/code>\u5747\u4e3aassistant<\/code>\u3002<\/li>\n<\/ul>\n<\/li>\n
      • \n
        created\uff1a\u6309\u65f6\u95f4\u6233\u663e\u793a\u7684\u751f\u6210\u65f6\u95f4\u3002<\/p>\n<\/li>\n
      • \n
        id\uff1aOpenAI \u5185\u90e8\u4f7f\u7528\u7684\u6807\u8bc6\u7b26\u3002<\/p>\n<\/li>\n
      • \n
        model\uff1a\u6240\u4f7f\u7528\u7684\u6a21\u578b\uff0c\u4e0e\u5728\u8f93\u5165\u4e2d\u6240\u8bbe\u7f6e\u7684\u4e00\u81f4\u3002<\/p>\n<\/li>\n
      • \n
        object\uff1a\u4e0d\u8bba\u662fGPT-4\u8fd8\u662fGPT3.5\u6a21\u578b\uff0c\u4e00\u5f8b\u4e3achat.completion\uff0c\u56e0\u4e3a\u6211\u4eec\u4f7f\u7528\u7684 endpoint \u5c31\u662f\u5bf9\u8bdd\u8865\u5168\u3002<\/p>\n<\/li>\n
      • \n
        usage\uff1a\u672c\u6b21\u67e5\u8be2\u6240\u4f7f\u7528\u7684 token \u6570\uff0c\u4e5f\u5373\u4e3a\u8ba1\u4ef7\u4f9d\u636e\u3002prompt_tokens\u8868\u793a\u8f93\u5165\u4e2d\u4f7f\u7528\u7684 token \u6570\uff0ccompletion_tokens\u4e3a\u8f93\u51fa\u7684 token\u6570\uff0c\u90a3\u4e48\u603b token \u6570\u4e5f\u5c31\u5f88\u5bb9\u6613\u8ba1\u7b97\u4e86\uff0ctotal_tokens<\/code> = prompt_tokens<\/code> + completion_tokens<\/code><\/p>\n<\/li>\n<\/ul>\n
        Embedding\u548cToken<\/h2>\n
        embedding\u548ctoken \u7684\u6982\u5ff5\u548c\u5177\u4f53\u4f5c\u7528\u8ba1\u5212\u5355\u72ec\u653e\u5728\u4e00\u8282\u4e2d\u8fdb\u884c\u8bb2\u89e3\uff0c\u4ee5\u4e0b\u7b80\u5355\u4ecb\u7ecd\u4e0b\u5982\u4f55\u901a\u8fc7\u4ee3\u7801\u6765\u751f\u6210\u76f8\u5e94\u7684\u7ed3\u679c\uff0c\u9996\u5148 OpenAI API \u4e2d\u63d0\u4f9b\u4e86\u521b\u5efa embedding \u7684\u65b9\u6cd5\uff1a<\/p>\n
        <\/div>
        ini<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>response<\/span> = client.embeddings.create(<\/span>\n  model<\/span>=\"text-embedding-ada-002\"<\/span>,<\/span>\n  input<\/span>=\"The food was delicious and the waiter...\"<\/span><\/span>\n)<\/span>\n<\/span>\nprint(response)<\/span>\n<\/code><\/pre>\n
        \u8f93\u51fa\u7ed3\u679c\u4e3a\uff1a<\/p>\n
        <\/div>
        kotlin<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>CreateEmbeddingResponse(data<\/span>=[Embedding(embedding=[0.0022786001209169626<\/span>, -0.0092921182513237<\/span>, 0.015702664852142334<\/span>, -0.007711696904152632<\/span>, -0.004709530156105757<\/span>, 0.014915627427399158<\/span>, -0.00985700823366642<\/span>, -0.03820939362049103<\/span>, -0.006931006442755461<\/span>, -0.028587227687239647<\/span>, 0.025197889655828476<\/span>, 0.01813994161784649<\/span>, -0.003643221454694867<\/span>, -0.025540631264448166<\/span>, 0.0005629062652587891<\/span>, -0.0164389256387949<\/span>, 0.02833334542810917<\/span>, 0.005388667341321707<\/span>, 0.00969198439270258<\/span>, -0.01641353778541088<\/span>, -0.015398005023598671<\/span>, 0.00433187885209918<\/span>, 0.006956394761800766<\/span>, -0.0072674015536904335<\/span>, -0.003890757216140628<\/span>, 0.01857154257595539<\/span>, 0.008708187378942966<\/span>, -0.02267175354063511<\/span>, 0.011475512757897377<\/span>, 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0.008689146488904953<\/span>, 0.01868578977882862<\/span>, 0.014369779266417027<\/span>, 0.028257180005311966<\/span>, -0.013988954946398735<\/span>, -0.003121174406260252<\/span>, 0.001888255006633699<\/span>, -0.003398858942091465<\/span>, 0.012986116111278534<\/span>, -0.04090055450797081<\/span>, 0.0025911936536431313<\/span>, -0.0018596930895000696<\/span>, -0.04950718954205513<\/span>, -0.008860517293214798<\/span>, -0.004576241597533226<\/span>, -0.021846633404493332<\/span>, -0.014039730653166771<\/span>, -0.01546147558838129<\/span>, 0.0040716491639614105<\/span>, 0.0027324159163981676<\/span>, -0.03135455399751663<\/span>, 0.04112904891371727<\/span>, -0.017606787383556366<\/span>, -0.018635014072060585<\/span>, 0.014534803107380867<\/span>, 0.01048536878079176<\/span>, -0.015423393808305264<\/span>, -0.01937127485871315<\/span>, -0.002765738172456622<\/span>], index=0<\/span>, object<\/span>='embedding'<\/span>)], model='text-embedding-ada-002'<\/span>, object<\/span>='list'<\/span>, usage=Usage(prompt_tokens=8<\/span>, total_tokens=8<\/span>))<\/span>\n<\/code><\/pre>\n
        \u53ef\u4ee5\u770b\u5230\u6240\u5f97\u5230\u5d4c\u5165\u5411\u91cf\u5b8c\u5168\u4e0d\u9002\u5408\u4eba\u7c7b\u9605\u8bfb\uff0c\u8fd9\u6b63\u662f\u5927\u8bed\u8a00\u7684\u5947\u5999\u4e4b\u5904\u3002\u56e0\u4e3a\u6700\u9002\u5408\u8ba1\u7b97\u673a\u7406\u89e3\u7684\u662f\u6570\u5b57\uff0c\u901a\u8fc7\u5c06\u81ea\u7136\u8bed\u8a00\u8f6c\u6362\u4e3a\u6570\u5b57\u5411\u91cf\uff0c\u8ba1\u7b97\u673a\u5c31\u53ef\u4ee5\u66f4\u9ad8\u6548\u5730\u53bb\u63a8\u7406\u5176\u4e2d\u7684\u5173\u7cfb\uff0c\u6240\u5f97\u5230\u7684\u5411\u91cf\u4f1a\u505a\u4e3a\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53ca\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7b97\u6cd5\u7684\u8f93\u5165\u3002<\/p>\n
        token\u662f\u4e00\u79cd\u5206\u8bcd\u65b9\u5f0f\uff0cOpenAI\u5df2\u7ecf\u5f00\u6e90\u4e86\u8fd9\u90e8\u5206\u4ee3\u7801\uff0c\u56e0\u6b64\u65e0\u9700\u8c03\u7528 API\uff0c\u5b89\u88c5tiktoken<\/code>\u5305\u5373\u53ef\u67e5\u770b\uff1a<\/p>\n
        <\/div>
        java<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>import<\/span> tiktoken<\/span><\/span>\n<\/span>\nenc<\/span> =<\/span> tiktoken.get_encoding(\"cl100k_base\"<\/span>)<\/span>\nenc.encode('The food was delicious and the waiter...'<\/span>)<\/span>\n<\/code><\/pre>\n
        \u6267\u884c\u7ed3\u679c\u4e3a\uff1a<\/p>\n
        <\/div>
        yaml<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>[791<\/span>, 3691<\/span>, 574<\/span>, 18406<\/span>, 323<\/span>, 279<\/span>, 68269<\/span>, 1131<\/span>]<\/span>\n<\/code><\/pre>\n
        \u5982\u4f55\u77e5\u9053\u662fcl100k_base<\/code>\u5462\uff1f\u4e00\u65b9\u9762\u662f\u67e5\u9605\u5b98\u65b9\u6587\u6863\uff0c\u53e6\u5916tiktoken<\/code>\u5185\u7f6e\u4e86\u901a\u8fc7\u6a21\u578b\u540d\u79f0\u67e5\u8be2\u7f16\u7801\u65b9\u5f0f\u7684\u65b9\u6cd5\uff1a<\/p>\n
        <\/div>
        ini<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>encoding<\/span> = tiktoken.encoding_for_model('gpt-3.5-turbo'<\/span>)<\/span>\nprint(encoding)<\/span>\n<\/code><\/pre>\n
        \u8c03\u7528DALL\u00b7E\u5b9e\u73b0\u6587\u751f\u56fe<\/h2>\n
        <\/div>
        ini<\/span>
        \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>response<\/span> = client.images.generate(<\/span>\n  prompt<\/span>=\"A cute baby sea otter\"<\/span>,<\/span>\n  n<\/span>=2<\/span>,<\/span>\n  size<\/span>=\"1024x1024\"<\/span><\/span>\n)<\/span>\n<\/code><\/pre>\n
        client.images.generate\u6709\u591a\u4e2a\u53c2\u6570\uff0c\u8fd9\u91cc\u4f7f\u7528\u4e86\u63d0\u793a\u8bcdprompt<\/code>\uff0c\u751f\u6210\u56fe\u7247\u6570\u91cfn<\/code>\uff08\u53d6\u503c\u8303\u56f4\u4e3a1\u523010\uff0cDALL\u00b7E 3\u5f53\u524d\u4ec5\u652f\u6301\u4f7f\u75281\u751f\u6210\u4e00\u5f20\u56fe\uff09size<\/code>\u662f\u56fe\u50cf\u7684\u5c3a\u5bf8\u7684\u53c2\u6570\u3002\u901a\u8fc7IPython.display\u53ef\u5728Jupyter Notebook\u4e2d\u663e\u793a\u6240\u751f\u6210\u56fe\u7247\uff0c\u6211\u4eec\u751f\u6210\u4e86\u4e24\u5f20\uff0c\u904d\u5386\u663e\u793a\u5982\u4e0b\uff1a<\/p>\n
        \n
        \"\u8c03\u7528DALL\u00b7E\u5b9e\u73b0\u6587\u751f\u56fe\"<\/figure>\n<\/p>\n
        API\u4e2d\u7684\u89d2\u8272<\/h2>\n
        \u5728\u524d\u9762\u7684\u793a\u4f8b\u4e2d\u5df2\u7ecf\u51fa\u73b0\u8fc7role<\/code>\uff0c\u5f53\u524d\u5171\u6709\u4e09\u79cd\u89d2\u8272\uff1a<\/p>\n
          \n
        • system\uff1a\u7528\u4e8e\u8bbe\u7f6e AI \u7684\u884c\u4e3a\u3001\u80cc\u666f\u7b49\uff0c\u6bd4\u5982\u8bbe\u5b9a\u5176\u4e3a\u4eba\u5de5\u667a\u80fd\u4e13\u5bb6\u7b49\u3002<\/li>\n
        • assistant\uff1a\u901a\u5e38\u662f\u6a21\u578b\u7684\u56de\u590d\uff0c\u53ef\u7528\u4e8e\u63d0\u4f9b\u4e0a\u4e0b\u6587\u3002<\/li>\n
        • user\uff1a\u6a21\u578b\u7684\u4f7f\u7528\u8005\uff0c\u4e5f\u5373\u804a\u5929\u5185\u5bb9\u7684\u53d1\u8d77\u8005\u3002<\/li>\n<\/ul>\n
          \u5982\u4e0b\u9762\u7684\u793a\u4f8b\uff1a<\/p>\n
          <\/div>
          ini<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>completion<\/span> = client.chat.completions.create(<\/span>\n    # For GPT 3.5 Turbo, the model is \"gpt-3.5-turbo\"<\/span><\/span>\n    model<\/span>=\"gpt-3.5-turbo\"<\/span>,<\/span>\n    # Conversation as a list of messages.<\/span><\/span>\n    messages<\/span>=[<\/span>\n        {\"role\"<\/span>: \"system\"<\/span>, \"content\"<\/span>: \"You are a helpful teacher.\"<\/span>},<\/span>\n        {<\/span>\n            \"role\"<\/span>: \"user\"<\/span>,<\/span>\n            \"content\"<\/span>: \"Are there other measures than time complexity for an algorithm?\"<\/span>,<\/span>\n        },<\/span>\n        {<\/span>\n            \"role\"<\/span>: \"assistant\"<\/span>,<\/span>\n            \"content\"<\/span>: \"Yes, there are other measures besides time complexity for an algorithm, such as space complexity.\"<\/span>,<\/span>\n        },<\/span>\n        {\"role\"<\/span>: \"user\"<\/span>, \"content\"<\/span>: \"What is it?\"<\/span>},<\/span>\n    ],<\/span>\n)<\/span>\n<\/span>\nprint(completion.choices[0]<\/span>.message.content)<\/span>\n<\/code><\/pre>\n
          \u8f93\u51fa\u7ed3\u679c\u4e3a\uff1a<\/p>\n
          <\/div>
          vbnet<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>Space complexity refers to<\/span> the amount of<\/span> memory or<\/span> storage space required by<\/span> an algorithm to<\/span> solve a problem. It measures the maximum amount of<\/span> space used by<\/span> an algorithm as<\/span> a function<\/span> of<\/span> the input size. Just like<\/span> time complexity, space complexity is<\/span> also analyzed in<\/span> terms of<\/span> Big O notation.<\/span>\n<\/span>\nSpace complexity is<\/span> important because it determines how efficiently an algorithm utilizes memory resources. It can be crucial in<\/span> scenarios with<\/span> limited memory, such as<\/span> embedded systems or<\/span> applications running on<\/span> devices with<\/span> low memory capacity.<\/span>\n<\/span>\nSimilar to<\/span> time complexity, there are different types of<\/span> space complexity, such as<\/span> auxiliary space complexity and<\/span> total space complexity. Auxiliary space complexity refers to<\/span> the extra space used by<\/span> an algorithm, excluding the input space, while<\/span> total space complexity includes both the auxiliary space and<\/span> the input space.<\/span>\n<\/span>\nAnalyzing space complexity can help in<\/span> optimizing algorithms by<\/span> identifying ways to<\/span> reduce memory usage, such as<\/span> reusing variables or<\/span> minimizing the number of<\/span> data structures created during the execution of<\/span> an algorithm.<\/span>\n<\/code><\/pre>\n
          \u51fd\u6570\u8c03\u7528<\/h2>\n
          \u51fd\u6570\u8c03\u7528\u4e3a OpenAI\u6269\u5c55\u4e86\u6570\u636e\u6765\u6e90\uff0c\u540c\u65f6\u4e5f\u8ba9\u5f00\u53d1\u8005\u80fd\u5728\u5229\u7528\u5927\u8bed\u8a00\u6a21\u578b\u4f18\u79c0\u7684\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u80fd\u529b\u7684\u540c\u65f6\u5411\u5176\u6295\u5582\u6570\u636e\u6216\u6dfb\u52a0\u903b\u8f91\u3002\u4e0b\u9762\u4e3e\u4e00\u4e2a\u4f8b\u5b50\uff0c\u5176\u4e2d\u5e76\u672a\u6d89\u53ca\u5230\u5916\u90e8 API\uff0c\u65e8\u5728\u63a2\u8ba8\u51fd\u6570\u8c03\u7528\uff0c\u4eca\u540e\u6211\u4eec\u518d\u505a\u6df1\u5165\u7684\u5c55\u5f00\u3002<\/p>\n
          \u9996\u5148\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\u6a21\u578b\u5bf9\u6570\u636e\u5e93\u6267\u884c\u641c\u7d22\uff1a<\/p>\n
          <\/div>
          python<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># Example function<\/span><\/span>\ndef<\/span> find_product<\/span>(sql_query<\/span>):<\/span>\n    # Execute query here<\/span><\/span>\n    results = [<\/span>\n        {\"name\"<\/span>: \"pen\"<\/span>, \"color\"<\/span>: \"blue\"<\/span>, \"price\"<\/span>: 1.99<\/span>},<\/span>\n        {\"name\"<\/span>: \"pen\"<\/span>, \"color\"<\/span>: \"red\"<\/span>, \"price\"<\/span>: 1.78<\/span>},<\/span>\n    ]<\/span>\n    return<\/span> results<\/span>\n<\/code><\/pre>\n
          \u63a5\u7740\u5bf9\u51fd\u6570\u7684\u8be6\u60c5\u8fdb\u884c\u63cf\u8ff0\uff0c\u4e3b\u8981\u5305\u542b\u540d\u79f0\u3001\u63cf\u8ff0\u3001\u53c2\u6570\u7684\u5b9a\u4e49\uff0c\u5176\u4e2d\u53c2\u6570\u6709\u7c7b\u578b\u3001\u5c5e\u6027\u548c\u5fc5\u586b\u9879\u7684\u6307\u5b9a\uff1a<\/p>\n
          <\/div>
          ini<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># Function definition<\/span><\/span>\nfunctions<\/span> = [<\/span>\n    {<\/span>\n        \"name\"<\/span>: \"find_product\"<\/span>,<\/span>\n        \"description\"<\/span>: \"Get a list of products from a sql query\"<\/span>,<\/span>\n        \"parameters\"<\/span>: {<\/span>\n            \"type\"<\/span>: \"object\"<\/span>,<\/span>\n            \"properties\"<\/span>: {<\/span>\n                \"sql_query\"<\/span>: {<\/span>\n                    \"type\"<\/span>: \"string\"<\/span>,<\/span>\n                    \"description\"<\/span>: \"A SQL query\"<\/span>,<\/span>\n                }<\/span>\n            },<\/span>\n            \"required\"<\/span>: [\"sql_query\"<\/span>],<\/span>\n        },<\/span>\n    }<\/span>\n]<\/span>\n<\/code><\/pre>\n
          \u521b\u5efa\u4e00\u4e2a\u4f1a\u8bdd\uff1a<\/p>\n
          <\/div>
          ini<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div># Example question<\/span><\/span>\nuser_question<\/span> = \"I need the top 2 products where the price is less than 2.00\"<\/span><\/span>\nmessages<\/span> = [{\"role\"<\/span>: \"user\"<\/span>, \"content\"<\/span>: user_question}]<\/span>\n# Call the openai.ChatCompletion endpoint with the function definition<\/span><\/span>\nresponse<\/span> = client.chat.completions.create(<\/span>\n        model<\/span>=\"gpt-3.5-turbo-0613\"<\/span>, messages=messages, functions=functions<\/span>\n)<\/span>\nresponse_message<\/span> = response.choices[0<\/span>].message<\/span>\nmessages.append(response_message)<\/span>\n<\/code><\/pre>\n
          \u6b64\u65f6message<\/code>\u4e3a\uff1a<\/p>\n
          <\/div>
          rust<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>[{'role<\/span>': 'user<\/span>', 'content<\/span>': 'I<\/span> need the top 2<\/span> products where<\/span> the price is less than 2.00<\/span>'}, ChatCompletionMessage<\/span>(content=None<\/span>, role='assistant<\/span>', function_call=FunctionCall<\/span>(arguments='{n  \"sql_query\"<\/span>: \"SELECT * FROM products WHERE price < 2.00 ORDER BY price LIMIT 2\"<\/span>n}', name='find_product<\/span>'), tool_calls=None<\/span>)]<\/span>\n<\/code><\/pre>\n
          response_message<\/code>\u4e3a\uff1a<\/p>\n
          <\/div>
          rust<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>ChatCompletionMessage<\/span>(content=None<\/span>, role='assistant<\/span>', function_call=FunctionCall<\/span>(arguments='{n  \"sql_query\"<\/span>: \"SELECT * FROM products WHERE price < 2.00 ORDER BY price LIMIT 2\"<\/span>n}', name='find_product<\/span>'), tool_calls=None<\/span>)<\/span>\n<\/code><\/pre>\n
          \u5927\u8bed\u8a00\u6a21\u578b\u4e3a\u6211\u4eec\u521b\u5efa\u4e86\u67e5\u8be2\u8bed\u53e5\uff0c\u6253\u5370response_message.function_call<\/code>\u53ef\u5f97\uff1a<\/p>\n
          <\/div>
          ini<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>FunctionCall(arguments<\/span>='{n  \"sql_query\": \"SELECT * FROM products WHERE price < 2.00 ORDER BY price LIMIT 2\"n}'<\/span>, name='find_product'<\/span>)<\/span>\n<\/code><\/pre>\n
          \u63a5\u4e0b\u6267\u884c\u51fd\u6570\u7ee7\u7eed\u4f1a\u8bdd\uff1a<\/p>\n
          <\/div>
          ini<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>import json<\/span>\n# Call the function<\/span><\/span>\nfunction_args<\/span> = json.loads(<\/span>\n    response_message.function_call.arguments<\/span>\n)<\/span>\nproducts<\/span> = find_product(function_args.get(\"sql_query\"<\/span>))<\/span>\n# Append the function's response to the messages<\/span><\/span>\nmessages.append(<\/span>\n    {<\/span>\n        \"role\": \"function\",<\/span>\n        \"name\": \"find_product\",<\/span>\n        \"content\": json.dumps(products),<\/span>\n    }<\/span>\n)<\/span>\n# Format the function's response into natural language<\/span><\/span>\nresponse<\/span> = client.chat.completions.create(<\/span>\n    model<\/span>=\"gpt-3.5-turbo-0613\"<\/span>,<\/span>\n    messages<\/span>=messages,<\/span>\n)<\/span>\n<\/code><\/pre>\n
          \u5f97\u5230\u7684\u56de\u590d\u5982\u4e0b\uff1a<\/p>\n
          <\/div>
          swift<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>The<\/span> top 2<\/span> products where<\/span> the price is<\/span> less than $2<\/span>.00<\/span> are:<\/span>\n<\/span>\n1<\/span>. Pen<\/span> (Blue<\/span>) -<\/span> Price<\/span>: $1<\/span>.99<\/span><\/span>\n2<\/span>. Pen<\/span> (Red<\/span>) -<\/span> Price<\/span>: $1<\/span>.78<\/span><\/span>\n<\/code><\/pre>\n
          \u5185\u5bb9\u5ba1\u6838<\/h2>\n
          \u6211\u4eec\u77e5\u9053\u5927\u8bed\u8a00\u6a21\u578b\u5e94\u7528\u9762\u4e34\u7684\u4e00\u5927\u95ee\u9898\u5c31\u662f\u76d1\u7ba1\uff0c\u5728ChatGPT\u4e2d\u6709\u5927\u91cf\u4fe1\u606f\u8fc7\u6ee4\u5904\u7406\uff0c\u4f46\u5f88\u591a\u5e76\u6ca1\u6709\u4f53\u73b0\u5728 API \u4e0a\uff0c\u56e0\u6b64OpenAI\u989d\u5916\u63d0\u4f9b\u4e86Moderation \u7684 API\uff0c\u4f9b\u6211\u4eec\u8c03\u7528\uff1a<\/p>\n
          <\/div>
          ini<\/span>
          \u590d\u5236\u4ee3\u7801<\/div><\/div><\/div>response<\/span> = client.moderations.create(<\/span>\n  model<\/span>=\"text-moderation-latest\"<\/span>,<\/span>\n  input<\/span>=\"I want to kill my neighbor.\"<\/span>,<\/span>\n)<\/span>\nprint(response)<\/span>\n<\/code><\/pre>\n
          \u53ef\u4ee5\u5728\u7ed3\u679c\u4e2d\u53d1\u73b0harassment_threatening=True<\/code>\u3001violence=True<\/code>\u548charassment\/threatening=True<\/code>\u3002<\/p>\n
          \u540c\u65f6\u5728\u4f7f\u7528 ChatGPT \u7b49\u4eba\u5de5\u667a\u80fd\u804a\u5929\u5de5\u5177\u8fd8\u9700\u8981\u5173\u6ce8\u5176\u80e1\u7f16\u4e71\u9020\u3001\u65e0\u4e2d\u751f\u6709\u7684\u53ef\u80fd\u6027\uff0c\u51fa\u5373\u6240\u8c13\u201c\u5e7b\u89c9\u201d(hallucination)\u3002<\/p>\n
          OpenAI\u6240\u63d0\u4f9b\u7684\u529f\u80fd\u8fd8\u6709\u5f88\u591a\u6709\u5f85\u63a2\u8ba8\uff0c\u672c\u6587\u65e8\u5728\u505a\u4e00\u4e2a\u5165\u95e8\u4ecb\u7ecd\uff0c\u5e0c\u671b\u540e\u7eed\u80fd\u6709\u673a\u4f1a\u505a\u66f4\u6df1\u5165\u7684\u5206\u4eab\u3002<\/p>","protected":false},"excerpt":{"rendered":"
          \u5c3d\u7ba1\u524d\u8d74\u540e\u7ee7\u6709\u5404\u79cd\u5382\u5546\u58f0\u79f0\u5728\u67d0\u4e9b\u57fa\u51c6\u6d4b\u8bd5\u4e0a\u8d85\u8d8a\u4e86GPT 4\uff0cOpenAI\u65d7\u4e0b\u7684ChatGPT\u4ecd\u7136\u662f\u7528\u6237\u91cf\u6700\u9ad8\u4e14\u516c\u8ba4\u7684\u6700\u4f18\u8d28\u7684\u4eba\u5de5\u667a\u80fd\u4ea7\u54c1\u3002OpenAI\u5728GPT 2\u4e4b\u540e\u5c31\u4e0d\u518d\u5f00\u6e90\u5176\u5927\u6a21\u578b\uff0c\u8fd9\u4e5f\u6b63\u662f\u9a6c\u65af\u514b<\/p>\n","protected":false},"author":1,"featured_media":12079,"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":"4","footnotes":""},"categories":[3],"tags":[126,127,128,129,136],"collection":[],"class_list":["post-1919","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\/1919","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=1919"}],"version-history":[{"count":0,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/posts\/1919\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media\/12079"}],"wp:attachment":[{"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/media?parent=1919"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/categories?post=1919"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/tags?post=1919"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.nicekj.com\/nicekj2024\/wp\/v2\/collection?post=1919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}