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BEGIN:VEVENT

CATEGORIES:Engineering
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Panel/Seminar/Colloquium
CATEGORIES:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None
CREATED:20240129T183017Z
DESCRIPTION:LUNCH: \nLunch will be served at 11:45 AM. \n\nABSTRACT: \nThe
  ever-increasing scale of foundation models\, such as ChatGPT and AlphaFo
 ld\, has revolutionized AI and science more generally. However\, increasi
 ng scale also steadily raises computational barriers\, blocking almost ev
 eryone from studying\, adapting\, or otherwise using these models for any
 thing beyond static API queries. In this talk\, I will present research t
 hat significantly lowers these barriers for a wide range of use cases\, i
 ncluding inference algorithms that are used to make predictions after tra
 ining\, fine-tuning approaches that adapt a trained model to new data\, a
 nd finally\, full training of foundation models from scratch. \n\nSPEAKER
  BIO: \nTim Dettmers' research focuses on making foundation models\, such
  as ChatGPT\, accessible to researchers and practitioners by reducing the
 ir resource requirements. A PhD candidate at the University of Washington
  who has won oral\, spotlight\, and best paper awards at conferences such
  as ICLR and NeurIPS\, Tim Dettmers created the bits-and-bytes library fo
 r efficient deep learning\, which is growing at 1.4 million installations
  per month and received Google Open Source and PyTorch Foundation awards.
 
DURATION:PT1H
DTSTAMP:20240129T183017Z
DTSTART;TZID=America/New_York:20240212T120000
LAST-MODIFIED:20240129T183017Z
LOCATION;X-BEDEWORK-UID=18832edc-1bffd55f-011c-2ea4458d-000003df:LSRC D106
 
STATUS:CONFIRMED
SUMMARY:Accessible Foundation Models: Systems\, Algorithms\, and Science
UID:CAL-8a0292fd-8d13410f-018d-567c85b0-00004e26demobedework@mysite.edu
URL:https://cs.duke.edu/events/accessible-foundation-models-systems-algori
 thms-and-science
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X-BEDEWORK-SPEAKER:Tim Dettmers\, University of Washington
X-BEDEWORK-DUKE-SERIES:Duke Computer Science Colloquium
X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=cynthia@cs.duke.edu:Cynt
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X-BEDEWORK-IMAGE-ALT-TEXT:Tim Dettmers from University of Washington
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