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DTSTART:20260308T030000
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DTSTART:20261101T010000
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DTSTAMP:20260823T230230Z
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DTSTART;TZID=America/New_York:20260820T200000
DTEND;TZID=America/New_York:20260820T210000
DESCRIPTION:\n\nSpeaker(s): Prateek Shaw\, \n\nAgenda: \nWebinar Summary\n\
 nThis one-hour webinar provides participants with a practical framework fo
 r evaluating Retrieval-Augmented Generation (RAG) systems beyond tradition
 al accuracy metrics. Attendees will explore a three-tier approach covering
  component-level correctness\, response quality and alignment\, and runtim
 e trust and governance. The session will demonstrate how techniques such a
 s RAGAS metrics\, LLM-as-a-Judge evaluation\, deployment controls\, and co
 ntinuous monitoring can help organizations identify reliability gaps and m
 ove RAG solutions from promising prototypes to trusted\, production-ready 
 enterprise systems.\n\nVirtual: https://events.vtools.ieee.org/m/572323
LOCATION:Virtual: https://events.vtools.ieee.org/m/572323
ORGANIZER:antra.malhotra@ieee.org
SEQUENCE:22
SUMMARY:August Webinar: Beyond Correctness: Evaluating RAG Pipelines for En
 terprise Production Readiness
URL;VALUE=URI:https://events.vtools.ieee.org/m/572323
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  /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;&lt;strong data-start=&quot;0&quot; data-end=&quot;19&quot; data-is-onl
 y-node=&quot;&quot;&gt;Webinar Summary&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;br data-start=&quot;19&quot; data-end=&quot;2
 2&quot;&gt;This one-hour webinar provides participants with a practical framework 
 for evaluating Retrieval-Augmented Generation (RAG) systems beyond traditi
 onal accuracy metrics. Attendees will explore a three-tier approach coveri
 ng component-level correctness\, response quality and alignment\, and runt
 ime trust and governance. The session will demonstrate how techniques such
  as RAGAS metrics\, LLM-as-a-Judge evaluation\, deployment controls\, and 
 continuous monitoring can help organizations identify reliability gaps and
  move RAG solutions from promising prototypes to trusted\, production-read
 y enterprise systems.&lt;/p&gt;
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