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DTSTART:20231029T030000
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SUMMARY:Unlocking Mixture of Experts : From 1 Know-it-all to group of Jedi
  Masters - Pranjal Biyani
DTSTART;TZID=Europe/Prague:20240710T143500
DTEND;TZID=Europe/Prague:20240710T150500
DTSTAMP:20260815T164138Z
UID:pretalx-europython-2024-VBHMEL@programme.europython.eu
DESCRIPTION:Answer this : In critical domains like Healthcare would you pr
 efer a Jack-of-all-trades OR one Yoda\, the master? \n\nJoin me on an exhi
 larating journey as we delve deep into the Mixture of Experts (MoE) techni
 que which is a practical and intuitive next-step to elevate predictive pow
 ers of generalised know-it-all models.\n\nA powerful approach to solve a v
 ariety of ML tasks\, MoE operates on the principle of Divide and Conquer w
 ith some less obvious limitations\, pros\, and cons. You’ll go through a
  captivating exploration of insights\, intuitive reasoning\, solid mathema
 tical underpinnings\, and a treasure trove of interesting examples!\n\nWe'
 ll kick off by surveying the landscape\, from ensemble models to stacked e
 stimators\, gradually ascending towards the pinnacle of MoE. Along the way
 \, we'll explore challenges\, alternative routes\, and the crucial art of 
 knowing when to wield the MoE magic—AND when to hold back. Brace yoursel
 ves for a business-oriented finale\, where we discuss metrics around cost\
 , latency\, and throughput for MoE models. And fear not! We'll wrap up wit
 h an array of resources equipping you to dive headfirst into pre-trained M
 oE models\, fine-tune them\, or even forge your own from scratch. May the 
 force of Experts be with you !"
LOCATION:Terrace 2B
URL:https://programme.europython.eu/europython-2024/talk/VBHMEL/
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