Model Governance.prompt

# Model Governance

## Overview

Model governance provides oversight and control over the entire lifecycle of LLM models — from development and testing through deployment and retirement. It includes model registration, versioning, approval workflows, performance monitoring, and decommissioning procedures. Production systems need clear accountability and traceability for every model decision.

## Key Concepts

- **Model registry**: Centralized catalog of all models with metadata and artifacts
- **Version control**: Tracking model versions, training data, and configurations
- **Approval workflows**: Multi-stage review before model deployment
- **Model cards**: Standardized documentation of model capabilities, limitations, and biases
- **Performance monitoring**: Continuous tracking of model quality metrics
- **Decommissioning**: Procedures for retiring models safely

## Implementation Patterns