LLMOps (Large Language Model Operations)
LLMOps is a set of practices and tools for deploying, monitoring, and maintaining Large Language Models in production. It extends MLOps principles specifically for LLM applications.
Key Components
Deployment
- Model versioning and deployment
- Infrastructure management
- Scaling and performance optimization
- Cost optimization strategies
Monitoring
- Response quality tracking
- Performance metrics
- Usage analytics
- Error monitoring
- Cost tracking
Maintenance
- Model updates and versioning
- Data pipeline management
- Fine-tuning workflows
- Security patches
Best Practices
Development
- Version control for prompts
- Testing frameworks
- CI/CD pipelines
- Documentation
Production
- Load balancing
- Failover strategies
- Caching mechanisms
- Rate limiting
Security
- Access control
- Data privacy
- Prompt injection prevention
- Output filtering