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Feedback & Reinforcement Learning
Continuously improve AI performance with direct user feedback and RLHF.
An AI That Learns and Improves
AidEun is not a static system. It's designed to get smarter over time by learning from user interactions.
- Simple Feedback Mechanism: Users can give a thumbs-up or thumbs-down to any AI response and provide optional written comments.
- Feedback Dashboard: Administrators can review all user feedback in a centralized dashboard, identifying areas where the AI is excelling or struggling.
- Reinforcement Learning from Human Feedback (RLHF): The collected feedback is used to fine-tune your models, systematically improving their accuracy, relevance, and helpfulness based on real-world user preferences.
- Identify Knowledge Gaps: Feedback often highlights gaps in the AI's knowledge base, signaling to admins that a new data source may need to be connected.