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SUMMARY:Routing Strategies for Heterogeneous GenAI Systems: Lessons from R
 eal-World Practice - Oliver Zeigemann
DTSTART;TZID=Europe/Warsaw:20250821T110500
DTEND;TZID=Europe/Warsaw:20250821T113500
DTSTAMP:20260906T111950Z
UID:pretalx-euroscipy-2025-G3WXJM@pretalx.com
DESCRIPTION:Techniker Krankenkasse employs multiple specialized generative
  AI (GenAI) systems tailored to specific tasks\, domains\, costs\, and lat
 ency needs. This multi-system strategy boosts robustness and efficiency bu
 t poses the operational challenge of routing queries to the most suitable 
 GenAI model. \n\nThe talk describes practical experiences with developing 
 dynamic routing pipelines using techniques such as regular-expression filt
 ers\, Named Entity Recognition (NER)\, few-shot intent classifiers\, light
 weight generative models for economical context-aware routing\, and select
 ive escalation to advanced models only when necessary. Insights and best p
 ractices from real-world implementation are shared.
LOCATION:Room 1.38 (Ground Floor)
URL:https://pretalx.com/euroscipy-2025/talk/G3WXJM/
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