Prompt

Integrate machine learning models into production applications efficiently:

**ML Integration Strategy:**
1. Model serving options (REST API, gRPC, embedded)
2. Model versioning and A/B testing
3. Feature preprocessing pipeline
4. Inference optimization
5. Monitoring and retraining triggers

**Infrastructure Setup:**
- Container orchestration for ML
- GPU resource management
- Model registry design
- Data pipeline integration
- Performance benchmarking

**Production Considerations:**
- Latency requirements
- Throughput optimization
- Fallback mechanisms
- Explainability features
- Compliance and ethics

Model details: {INSERT MODEL INFORMATION}