主流大模型技术全景报告 (2024 Q3)

    # GPT-4 API调用示例
    from openai import OpenAI
    
    client = OpenAI()
    response = client.chat.completions.create(
    model="gpt-4-turbo-preview",
    messages=[{"role": "user", "content": "解释量子纠缠现象"}],
    temperature=0.7,
    max_tokens=500
    )
    print(response.choices[0].message.content)
    
    
    python
    
    
![](https://ad.itadn.com/c/weblog/blog-img/images/2025-07-14/2fvMySgwFRUWQXsb56zZqeLA780N.png)

    # DeepSeek API调用
    import deepseek
    
    ds = deepseek.Client(api_key="your_key")
    response = ds.generate(
    prompt="求解方程组：2x + y = 7, x - y = -1",
    max_tokens=200,
    math_solver=True  # 启用数学模式
    )
    print(response.text)
    
    
    python
    
    
![](https://ad.itadn.com/c/weblog/blog-img/images/2025-07-14/mToDOXYFEzeKiZJk0SGlUAawMqRP.png)

    # 通义千问图像描述生成
    from dashscope import MultiModalConversation
    
    response = MultiModalConversation.call(
    model='qwen-vl-plus',
    messages=[
        {
            'role': 'user',
            'content': [
                {'image': 'https://example.com/cat.jpg'},
                {'text': '描述这张图片并生成10个相关标签'}
            ]
        }
    ]
    )
    print(response.output.choices[0].message.content)
    
    
    python
    
    
![](https://ad.itadn.com/c/weblog/blog-img/images/2025-07-14/ypT2G9FNaVAK0mXoHnS5OEu4CbLi.png)

    # 混合模型调用示例
    def smart_router(query):
    if requires_math(query):
        return deepseek.generate(query)
    elif needs_multimodal(query):
        return qwen.generate(query)
    else:
        return gpt4.generate(query)
    
    
    python