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UID:pretalx-europython-2024-VBHMEL@programme.europython.eu
DTSTART;TZID=CET:20240710T143500
DTEND;TZID=CET:20240710T150500
DESCRIPTION:Answer this : In critical domains like Healthcare would you pre
 fer a Jack-of-all-trades OR one Yoda\, the master? \n\nJoin me on an exhil
 arating journey as we delve deep into the Mixture of Experts (MoE) techniq
 ue which is a practical and intuitive next-step to elevate predictive powe
 rs of generalised know-it-all models.\n\nA powerful approach to solve a va
 riety of ML tasks\, MoE operates on the principle of Divide and Conquer wi
 th some less obvious limitations\, pros\, and cons. You’ll go through a 
 captivating exploration of insights\, intuitive reasoning\, solid mathemat
 ical underpinnings\, and a treasure trove of interesting examples!\n\nWe'l
 l kick off by surveying the landscape\, from ensemble models to stacked es
 timators\, gradually ascending towards the pinnacle of MoE. Along the way\
 , we'll explore challenges\, alternative routes\, and the crucial art of k
 nowing when to wield the MoE magic—AND when to hold back. Brace yourselv
 es for a business-oriented finale\, where we discuss metrics around cost\,
  latency\, and throughput for MoE models. And fear not! We'll wrap up with
  an array of resources equipping you to dive headfirst into pre-trained Mo
 E models\, fine-tune them\, or even forge your own from scratch. May the f
 orce of Experts be with you !"
DTSTAMP:20260310T184846Z
LOCATION:Terrace 2B
SUMMARY:Unlocking Mixture of Experts : From 1 Know-it-all to group of Jedi 
 Masters - Pranjal Biyani
URL:https://programme.europython.eu/europython-2024/talk/VBHMEL/
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