Model Training in AI Training Platform
Our AI training platform provides a complete workflow from data annotation to model deployment, featuring one-click training, version control, and real-time monitoring. Supports all major frameworks with containerized environments and collaborative notebooks.
- Support LLMBuild an intelligent agent
- VisualizationMulti-Dimensional Metrics
- Version ControlSeamless Version Switching
Details
1. Model Upload & Preparation
Users upload pre-configured model files...
2. Notebook-Based Model Editing
Integrated Jupyter notebooks allow...
- Real-time collaboration features
- Version-controlled changes
- Pre-installed ML libraries...
- GPU-accelerated prototyping
3. Training Configuration
Three configuration methods supported:
a) UI Form: Set hyperparameters...
b) YAML Upload: Import complex...
c) API Trigger: Programmatically...
4. Containerized Training
System automatically:
- Builds Docker images with...
- Allocates GPU/CPU resources...
- Monitors resource utilization...
5. Training Execution
Key features during runtime:
- Live metrics dashboard...
- Intermediate checkpoint saving
- Early stopping based on...
- Failure recovery from last...
6. Version Management
Each training run generates:
- Immutable model version...
- Complete training metadata...
- Performance comparison tools...
7. Model Deployment
One-click deployment options:
- REST API endpoint generation
- Edge device export...
- Model registry integration
8. Download & Export
Flexible output formats:
- Original framework format...
- Optimized formats (ONNX...
- Complete training artifacts...
