Part III of this workshop series focuses on improving Retrieval-Augmented Generation (RAG) systems through Reinforcement Learning with Human Feedback (RLHF). Participants will learn how human evaluation can be used to systematically enhance precision, robustness, and alignment with real-world use cases.
The workshop combines conceptual input with hands-on exercises, including evaluating generated responses, building feedback datasets, and optimizing retrieval and generation pipelines for production-ready AI assistants.
Event Details
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Title: Efficient Information Retrieval – Part III
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Format: On-site workshop
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Date: Thursday, March 26, 2026
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Time: 2:00–5:00 PM (CET)
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Location: Hasso-Plattner-Institut
Prof.-Dr.-Helmert-Str. 2–3, Building K, Room K-1.03, 14482 Potsdam -
Organizer: AI Service Center Berlin-Brandenburg @ HPI
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Requirements: Completion of Parts I & II or equivalent hands-on RAG experience
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Admission: Free, registration required
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Note: Photo, audio, and video recordings will take place during the event
Hasso-Plattner-Institut
Prof.-Dr.-Helmert-Str. 2–3, Building K, Room K-1.03, 14482 Potsdam