30 KI-Prompts für neuronale Netze und Systemarchitekturdiagramme

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.

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.

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.

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.

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.

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.

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.