Next Steps in Advanced AI Development
Building a Robust Evaluation Pipeline
Continuous Evaluation System
The next evolution of your evaluation system should incorporate:
- Automated Testing Pipeline
- Continuous integration tests for model outputs
- A/B testing of different prompt versions
- Automated regression detection
- Performance benchmarking across different scenarios
- Evaluation Metrics Dashboard
- Track model performance over time
- Monitor costs and latency
- Analyze user satisfaction metrics
- Identify failure patterns and edge cases
- Quality Assurance Workflow
interface EvalResult {
category: string;
score: number;
failurePoints: string[];
suggestions: string[];
}
interface EvalMetrics {
accuracy: number;
latency: number;
tokenUsage: number;
userSatisfaction: number;
}
Consider implementing:
- Multi-stage evaluation pipelines
- Parallel evaluation streams
- Automated feedback loops