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AI Service-Center: Efficient Information Retrieval – Part III

Using human feedback to systematically improve RAG systems for real-world deployment.

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

  • Title: Efficient Information Retrieval – Part III
  • Format: On-site workshop
  • Date: Thursday, March 26, 2026
  • Time: 2:00–5:00 PM (CET)
  • 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
  • Requirements: Completion of Parts I & II or equivalent hands-on RAG experience
  • Admission: Free, registration required
  • Note: Photo, audio, and video recordings will take place during the event

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