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UID:pretalx-pyconde-pydata-2024-QCNXLW@pretalx.com
DTSTART;TZID=CET:20240424T114000
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DESCRIPTION:While RAG addresses the common LLM pitfalls\, challenges like h
 andling out-of-domain queries still persist. Learn the significance of fal
 lback mechanisms to tackle these issues gracefully\, incorporating strateg
 ies like web searches and alternative data sources to improve the user exp
 erience of your system. In this session\, we’ll discover various fallbac
 k techniques and practical implementation using Haystack\, empowering you 
 to develop resilient LLM-based systems for diverse scenarios without human
  intervention.
DTSTAMP:20260412T222413Z
LOCATION:A1
SUMMARY:Improve LLM-based Applications with Fallback Mechanisms - Bilge Yü
 cel
URL:https://pretalx.com/pyconde-pydata-2024/talk/QCNXLW/
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