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ai_orchestrator [2025/05/28 20:42] – [Extensibility] eagleeyenebulaai_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.+  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.+  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.+  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. +  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