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UID:pretalx-cfp-8K8XUD@vermont2024.pydata.org
DTSTART;TZID=US/Eastern:20240729T104500
DTEND;TZID=US/Eastern:20240729T111500
DESCRIPTION:Tecton\, presents "Full RAG\," a novel approach to AI recommend
 ation systems\, aiming to push beyond the limitations of traditional model
 s through a deep integration of contextual insights and real-time data\, l
 everaging the Retrieval-Augmented Generation architecture. This talk will 
 outline Full RAG's potential to significantly enhance personalization\, ad
 dress engineering challenges such as data management and model training\, 
 and introduce data enrichment with reranking as a key solution. Attendees 
 will gain crucial insights into the importance of hyperpersonalization in 
 AI\, the capabilities of Full RAG for advanced personalization\, and strat
 egies for managing complex data integrations for deploying cutting-edge AI
  solutions.
DTSTAMP:20250709T214944Z
LOCATION:Filmhouse
SUMMARY:Full RAG: A Modern Architecture for Hyperpersonalization - Mike Del
  Balso
URL:https://vermont2024.pydata.org/cfp/talk/8K8XUD/
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