Console.WriteLine($"{completion.Role}: {completion.Content[0].Text}"); 程序返回了以下结果(你看到的结果当然不一样,但这正是AI的魅力,不是吗?): 在古代的江湖世界中,正义与邪恶的斗争从未停息。张无忌,一位正义的侠客,肩负着重振明教的使命,而赵敏,一位机智勇敢的侠女,则是大元朝的秘密使者,二人在一次偶...
{"role": "system", "content": "You are a helpful assistant, teaching people about AI."},{"role": "user", "content": "Does Azure OpenAI support multiple languages?"},{"role": "assistant", "content": "Yes, Azure OpenAI supports several languages, and can translate between them."},{...
以下代码为 Azure Open AI 模型创建配置,该模型充当我们内置相关性和一致性评估器的 LLM Judge。此配置作为模型配置传递给这些评估器: from promptflow.core import AzureOpenAIModelConfiguration configuration = AzureOpenAIModelConfiguration( azure_endpoint="https://ai-***.openai.azure.com", api_key="", api...
role="user", content="I prefer visualizations in darkmode can you change the colors to make a darkmode version of this visualization.")# Run the threadrun = client.beta.threads.runs.create( thread_id=thread.id, assistant_id=assistant.id,)# Retrieve the status of the ...
("AZURE_OPENAI_ENDPOINT"), azure_ad_token_provider=token_provider, api_version="2024-09-01-preview" ) response = client.chat.completions.create( model="o1-preview-new", # replace with the model deployment name of your o1-preview, or o1-mini model messages=[ {"role": "user", "content...
}, {"role": "user", "content": "Do other Azure AI services support this too?"} ] ) print(response.choices[0].message.content) 分析您的自定義模型 Azure OpenAI 會將名為 results.csv 的結果檔案附加至完成之後的每個微調作業。 您可以使用結果檔來分析自定義模型的定型和驗證效能。 結...
# Upload the user provided file to OpenAI message_file = client.files.create( file=open("mydirectory/myfile.pdf", "rb"), purpose="assistants" ) # Create a thread and attach the file to the message thread = client.beta.threads.create( messages=[ { "role": "user", "content": "How...
from openai import AzureOpenAI client = AzureOpenAI( api_key=os.getenv("AZURE_OPENAI_API_KEY"), api_version="2024-05-01-preview", azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT") ) thread = client.beta.threads.create( messages=[ { "role": "user", "content": "I need to solve ...
代码语言:javascript 代码运行次数:0 运行 AI代码解释 ### 创建示例数据集 微调 `gpt-35-turbo-0613` 需要特殊格式的 JSONL 训练文件。 OpenAI 在其文档中提供了以下示例: {"messages": [{"role": "system", "content": "Marv is a factual chatbot that is also sarcastic."}, {"role": "user",...
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