可视化 AI 系统、神经网络架构和技术工作流对于机器学习论文、演示文稿和文档至关重要。本指南提供了 30 个来自真实 AI 研究项目的成熟提示词(Prompts),帮助您为出版物创建专业的图表。
你将学到:
- 神经网络架构可视化提示词
- 算法机制和工作流图表
- 数据处理流水线插图
- 系统集成和部署图表
1. 神经网络架构图
1.1 卷积神经网络
提示词:详细的 CNN 架构
I need to generate a detailed schematic diagram of a convolutional neural network
architecture. The generated diagram should clearly show:
- Input layer with image dimensions (e.g., 224×224×3)
- Multiple convolutional layers with filter sizes and feature map dimensions
- Pooling layers (max pooling) with stride annotations
- Fully connected layers with neuron counts
- Output layer with classification probabilities
Use a horizontal left-to-right flow with consistent color coding for each layer type.
1.2 算法机制图
提示词:知识图谱算法工作流
Generate an image: Core visual theme and style.
Theme: algorithm mechanism diagram, technical workflow, abstract knowledge
representation. Show the pipeline from raw data input through entity extraction,
relationship mining, knowledge graph construction, to final reasoning output.
Include intermediate representations and transformation arrows with labels.
2. 技术系统架构
2.1 仿真与验证平台
提示词:数字仿真平台架构
Please create a technical architecture diagram for a full digital simulation
and verification platform for civil aircraft systems. Include:
- Data acquisition layer (sensors, flight data)
- Simulation engine layer (physics models, aerodynamics)
- Verification and validation modules
- User interface and visualization components
- Integration with external systems (CAD, CFD)
Use a layered architecture style with clear module boundaries.
2.2 控制系统
提示词:自主控制系统架构
Please draw a technical architecture diagram of a multi-source disturbance
automatic takeoff and landing control system. Show:
- Sensor fusion module (IMU, GPS, vision)
- State estimation and prediction
- Control law computation
- Actuator command generation
- Feedback loops with disturbance rejection
Label all signals and processing blocks with technical terminology.
3. 数据处理流水线
3.1 机器学习工作流
提示词:数据分析流水线
Data Loading:
Initially, the competition data CSV file is loaded into a DataFrame using pandas.
Create a workflow diagram showing:
1. Data ingestion and validation
2. Feature engineering and preprocessing
3. Model training with cross-validation
4. Hyperparameter optimization
5. Model evaluation and selection
6. Prediction and submission generation
Include data flow arrows and intermediate dataset shapes.
3.2 制造业检测系统
提示词:AI 驱动的检测架构
Abstract: Modern manufacturing inspection relies on complex measurements due to
advanced production processes and intricate product designs. Create a system
architecture diagram showing:
- Image acquisition subsystem (cameras, lighting)
- AI inference engine (defect detection models)
- Quality decision module
- Integration with manufacturing execution system (MES)
- Real-time dashboard and alerting
Use industrial automation visual style with equipment icons.
4. 研究框架图
4.1 AI 研究愿景
提示词:研究任务组织
This document outlines the research vision of CRAFT-AI, proposing nine research
tasks organized within four primary research areas. Create a hierarchical diagram
showing:
- Core research pillars (Foundation Models, Reasoning, Alignment, Applications)
- Individual research tasks under each pillar
- Cross-cutting themes and dependencies
- Timeline or phase indicators if applicable
Use academic poster style with clean typography.
5. AI 架构图提示词编写技巧
核心要素
| 图表类型 | 核心组成部分 |
|---|---|
| 神经网络 | 层类型、维度、激活函数、数据流向 |
| 系统架构 | 模块、接口、数据流、外部集成 |
| 工作流 | 步骤、决策点、数据转换、时序 |
| 算法 | 输入/输出、处理阶段、数学运算 |
最佳实践
- 指定布局方向:例如“从左到右”、“从上到下”或“分层布局”
- 包含维度信息:层大小、数据形状、时间标注
- 使用技术术语:确保与您论文中的命名法一致
- 要求一致的风格:颜色编码、图标风格、字体选择
开始创建您的 AI 架构图
尝试在 SciDraw 的 AI 插图工具中使用这些提示词:
相关指南:
- AI 架构图生成器 — AI 创建神经网络与系统架构图



