LLM Council Change Management: Evolving Your AI Systems
Managing changes to LLM council configurations and deployments.
LLM change managementAI operationscouncil updates
Change Management
Safely evolve your LLM council over time.
Change Types
Configuration Changes
- Model updates
- Parameter tuning
- Prompt modifications
Infrastructure Changes
- Provider switches
- Scaling adjustments
- Architecture updates
Change Process
- Plan: Define change scope
- Test: Validate in staging
- Review: Get approval
- Deploy: Implement change
- Monitor: Track impact
- Rollback: If needed
Best Practices
- Version control all configs
- Test changes thoroughly
- Communicate to stakeholders
- Document rationale