Feedback Loops

Purpose: Build systems that continuously improve AI/ML models through structured human and automated feedback mechanisms.

When to Use This Skill

• Collecting and integrating user feedback into model improvement
• Implementing RLHF (Reinforcement Learning from Human Feedback) pipelines
• Designing reward models for preference-based training
• Building automated feedback systems (RLAIF - AI feedback)
• Creating annotation pipelines for training data refinement
• Establishing continuous improvement cycles for production AI systems

Prerequisites