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UID:37316664-3632-4234-b530-666531653338
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X-WR-CALNAME:Multimodal AI in the Era of Gigantic Pretrained Language Model
 s: Challenges and (Some) Remedies - Boyang Albert Li\, Associate Professor
 \, Nanyang Technological University
BEGIN:VTIMEZONE
TZID:America/Vancouver
TZUNTIL:20250309T100000Z
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TZNAME:PST
DTSTART:20221106T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20231105T020000
RDATE:20241103T020000
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TZNAME:PDT
DTSTART:20230312T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RDATE:20240310T020000
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UID:4ef7e4d5-f607-466a-9e50-5adb962f472c
DTSTAMP:20260922T185332Z
CLASS:PUBLIC
CREATED:20230613T184819Z
DESCRIPTION:Please register for this event here. Abstract: Large pretrained
  language models brought a series of capabilities\, such as in-context lea
 rning\, chain-of-thought reasoning\, and many other prompting tricks\, tha
 t surprised many experienced AI researchers. At the same time\, the sheer 
 sizes of these models brought unprecedented challenges in training and dep
 loyment. In this talk\, I will present recent work that exploit the new ca
 pabilities of these models and alleviate some of their shortcomings. First
 \, I will talk about how to obtain new multimodal capabilities\, such as v
 isual question answering…
DTSTART;TZID=America/Vancouver:20230626T110000
DTEND;TZID=America/Vancouver:20230626T120000
LAST-MODIFIED:20230614T225005Z
LOCATION:UBC Vancouver Campus\, ICCS X836 / Please register to receive Zoom
  link
SUMMARY:Multimodal AI in the Era of Gigantic Pretrained Language Models: Ch
 allenges and (Some) Remedies - Boyang Albert Li\, Associate Professor\, Na
 nyang Technological University
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/multimodal-ai-era-gigantic-pretrained-langua
 ge-models-challenges-and-some-remedies-boyang
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