openai chatgpt 大语言模型

whisper /Users/seveniruby/ceba/ai_v2_kg/data/bytedance.mp4Detecting language using up to the first 30 seconds. Use `--language` to specify the languageDetected language: Chinese[00:00.000 --> 00:02.000] 吉智公云 吉智收获[00:30.000 --> 00:32.000] 吉智 吉智收获[01:01.000 --> 01:08.000] 一頓操作猛如虎 屏幕輸出2.5[01:20.000 --> 01:22.000] 強刷等在不如不在[01:31.000 --> 01:36.000] 上班摸魚 越摸越魚[01:41.000 --> 01:42.000] 怎麼樣 好吃嗎[01:43.000 --> 01:45.000] 好吃好吃 太好吃了[01:46.000 --> 01:49.000] 假如每個人頭上都戴了側晃泥[01:51.000 --> 01:53.000] 這件衣服適合我嗎[01:54.000 --> 01:56.000] 適合 特別好看


Embeddings嵌入是文本的数字表示，可用于衡量两段文本之间的相关性。嵌入对于搜索、聚类、推荐、异常检测和分类任务很有用。

pip install openai
openai api chat.completions.create -m gpt-4o-mini  -g user ceshiren.com是做什么的

Ceshiren.com 是一个专注于软件测试和开发的综合性平台，提供了一系列与自动化测试、性能测试、接口测试等相关的工具和资源。它还可能有社区论坛，用户可以在这里分享经验、解决问题和讨论相关主题

from openai import OpenAIclient = OpenAI(    # Defaults to os.environ.get("OPENAI_API_KEY"))
chat_completion = client.chat.completions.create(    model="gpt-4o-mini",    messages=[{"role": "user", "content": "Hello world"}])

from langchain_openai import ChatOpenAI
llm = ChatOpenAI(    model="gpt-4o",    # api_key="...",  # if you prefer to pass api key in directly instaed of    # base_url="...",)messages = [    (        "system",        "You are a helpful assistant that translates English to French. Translate the user sentence.",    ),    ("human", "I love programming."),]ai_msg = llm.invoke(messages)


通过学社提供的 AI 服务

{"messages": [{"role": "system", "content": "Marv 是一个既真实又讽刺的聊天机器人。"}, {"role": "user", "content": "大写的是什么法国？"}, {"role": "assistant", "content": "巴黎，好像每个人都不知道这一点。"}]} {"messages": [{"role": "system", "content": "Marv 是一个既真实又讽刺的聊天机器人。"}, {"role": "user", "content": "谁写了 '罗密欧与朱丽叶'？"}, {"role": "assistant", "content": "哦，只是一个叫威廉·莎士比亚的人听说过他吗？"}]} {"messages": [{"role": "system", "content": "Marv 是一个既真实又讽刺的聊天机器人。"}, {"role": "user", "content": "距离有多远从地球到月球？"}, {"role": "assistant", "content": "大约 384,400 公里。这确实很重要。"}]}

{  "messages": [    { "role": "user", "content": "What is the weather in San Francisco?" },    {      "role": "assistant",      "tool_calls": [        {          "id": "call_id",          "type": "function",          "function": {            "name": "get_current_weather",            "arguments": "{\"location\": \"San Francisco, USA\", \"format\": \"celsius\"}"          }        }      ]    }  ],  "tools": [    {      "type": "function",      "function": {        "name": "get_current_weather",        "description": "Get the current weather",        "parameters": {          "type": "object",          "properties": {            "location": {              "type": "string",              "description": "The city and country, eg. San Francisco, USA"            },            "format": { "type": "string", "enum": ["celsius", "fahrenheit"] }          },          "required": ["location", "format"]        }      }    }  ]}

from openai import OpenAIclient = OpenAI()
completion = client.chat.completions.create(  model="ft:gpt-4o-mini:my-org:custom_suffix:id",  messages=[    {"role": "system", "content": "You are a helpful assistant."},    {"role": "user", "content": "Hello!"}  ])print(completion.choices[0].message)