ai_orchestrator
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| ai_orchestrator [2025/05/28 20:42] – [Extensibility] eagleeyenebula | ai_orchestrator [2025/05/28 20:43] (current) – [Best Practices] eagleeyenebula | ||
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| ===== Best Practices ===== | ===== Best Practices ===== | ||
| - | - **Monitor Drift Regularly**: | + | **Monitor Drift Regularly**: |
| - | Schedule routine model drift checks using cron jobs or pipeline automation tools. | + | |
| - | - **Validate Feedback Data**: | + | **Validate Feedback Data**: |
| - | Ensure that feedback data is clean, labeled accurately, and suitable for training before integration. | + | |
| - | - **Leverage Modular Components**: | + | **Leverage Modular Components**: |
| - | Use each module (feedback, retraining, reporting) separately as needed to ensure scalability and maintainability. | + | |
| - | - **Secure Data**: | + | **Secure Data**: |
| - | Protect training datasets, feedback records, and reports from unauthorized access. | + | |
| - | + | ||
| - | - **Log Everything**: | + | |
| - | Maintain comprehensive logs for the entire pipeline to aid in debugging and compliance. | + | |
| - | + | ||
| - | --- | + | |
| + | **Log Everything**: | ||
| + | * Maintain comprehensive logs for the entire pipeline to aid in debugging and compliance. | ||
| ===== Conclusion ===== | ===== Conclusion ===== | ||
ai_orchestrator.1748464979.txt.gz · Last modified: 2025/05/28 20:42 by eagleeyenebula
