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DTSTAMP:20260521T135811Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2024east.data
 versity.net/sessionPop.cfm?confid=162&proposalid=15784\nLLMs have a transfo
 rmative component in enriching analytics solutions. Yet, their utility ofte
 n goes underutilized due to complexities in terminology interpretation and 
 task alignment spurred by generic prompts. Introducing a novel approach, ou
 r speakers utilize Taxonomy Augmented Generation, an inventive prompt engin
 eering technique, founded on knowledge graph constructs. This innovative me
 thod has achieved significant results within a wide range of Business and C
 onsumer use cases. This session will revolve around an in-depth explor
 ation of the underlying techniques, operational methods with LLMs, a variet
 y of use cases, and their results. The following topics will be discus
 sed:\n\n	Need for Terminology alignment\n
 Taxonomy Augmented Generation Framework\n	Illustrative Examples\n
 Training and testing process\n	Results\n\n
DTSTART:20241210T101500
SUMMARY:Use of Taxonomy Augmented Generation to Improve Quality in Generati
 ve AI Solutions
DTEND:20241210T105959
LOCATION: See Description
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