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Oaisys Conf 2025 | Adaptive RAG: Learning from Query Clusters and Feedback
Автор: QED42
Загружено: 2026-01-07
Просмотров: 91
Описание:
Pratik Bhande shows how a RAG system can adapt its responses over time using query clustering and reinforcement learning.
The session walks through grouping queries by intent, routing them to different response styles, and using user feedback to train the system to respond more accurately. A practical look at improving small models, reducing cost, and making RAG less static in real-world systems.
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