# GPT Image Hub prompt

## AI运行机制教学信息长图
- URL: https://www.gptimagehub.com/zh-CN/library/educational-ai-workflow-mechanism-infographic
- Generator URL: https://www.gptimagehub.com/zh-CN/generate?promptId=oss-ym-g2-13821
- Markdown URL: https://www.gptimagehub.com/api/agent/markdown?path=%2Fzh-CN%2Flibrary%2Feducational-ai-workflow-mechanism-infographic
- Category: 信息图与教育
- Model: gpt-image-2
- Aspect ratio: 3:4
- Style: graphic-design
- Tags: 信息图表, 流程图, 教育科普, 图解, 扁平设计, 人工智能, 矢量风格
- Updated: 2026-10-26T22:16:13.098Z
- Created: 2026-10-26T22:16:13.098Z

生成清晰的多板块教学信息长图，系统拆解AI运作机制。可自由修改括号中的各板块标题、流程步骤和解说角色。

### Full prompt
```text
{
  "type": "educational infographic",
  "header": {
    "title": "[最新AI (ChatGPT / Claude) 原理解析]",
    "badge": "[通俗易懂！]",
    "subtitle": "[一图读懂能理解文字、图像与语音并自主思考的AI原理！]"
  },
  "layout": {
    "style": "清爽扁平化设计, 结构化网格排版, 日文字体排版, 清晰矢量图标, 鲜明现代配色",
    "sections": [
      {
        "title": "AI生成回答全流程(基础步骤)",
        "position": "left column",
        "count": 6,
        "labels": ["输入", "分词 (Token)", "向量化 (Embedding)", "Transformer (AI大脑)", "预测下一个Token (生成)", "输出"],
        "visuals": "带箭头的垂直流程图, 使用笔记本电脑的学生, 分词示意图, 向量数组图表, 自注意力神经网络树, 机器人助理图标"
      },
      {
        "title": "核心要点！ 3大关键概念",
        "position": "top right",
        "count": 3,
        "labels": ["Token (分词)", "Transformer (变换器架构)", "下一个Token预测"],
        "visuals": "文本块分词示意图, 多节点注意力网络, 逐步词语预测序列图"
      },
      {
        "title": "近期重大突破 (2024-2025)",
        "position": "middle right",
        "count": 4,
        "labels": ["多模态", "智能体Agent化", "长文本与推理能力飞跃", "高效低耗加速"],
        "visuals": "多模态媒体图标, 自主AI智能体流程图, 灯泡推理符号, 带专家网络节点的性能仪表盘"
      },
      {
        "title": "总结归纳",
        "position": "bottom full width",
        "elements": [
          "水平6步汇总工作流",
          "黄色高亮总结框，文本: [「AI是一个将信息拆分转化为数字、计算关联性并预测后续内容的巨型数学机器！」]",
          "[微笑指向前方的手绘动漫风女学生角色]"
        ]
      }
    ]
  }
}
```