BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pycon-lt-2023//speaker//HKHYS9
BEGIN:VTIMEZONE
TZID:Europe/Vilnius
BEGIN:DAYLIGHT
DTSTART:20220518T000000
TZNAME:EEST
TZOFFSETFROM:+0300
TZOFFSETTO:+0300
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221030T040000
RDATE:20231029T040000
TZNAME:EET
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230326T040000
RDATE:20240331T040000
TZNAME:EEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
SUMMARY:I talk to ChatGPT about things - Aroma Rodrigues
DTSTART;TZID=Europe/Vilnius:20230518T140000
DTEND;TZID=Europe/Vilnius:20230518T142500
DTSTAMP:20260807T115156Z
UID:pretalx-pycon-lt-2023-S3DXDJ@pretalx.com
DESCRIPTION:The word ChatGPT has captured the imagination and the internet
 \, but does ChatGPT truly know everything\, is it truly AGI? To answer som
 e of these questions and to formulate what testing a conversational agent 
 trained on a large language model would look like\, we had chatGPT take th
 e wit test where we asked it riddles. Find out what it said. \nQuick intro
 duction to Large Language Models\, how they are trained and what can be im
 proved.\nSlides and examples of the test associated with ChatGPT.\nDiscuss
 ion of why ChatGPT fails with understanding contexts\, doesn't do well at 
 verbal math\, doesn't know what a venn diagram is and has never heard an e
 gg crack and what it means for the next generation of a conversational AI 
 model.\nWe will go deeper into how it perceives metaphorical language and 
 convoluted relationships\, we will also explore how the performance compar
 es to that in the audience to have a good sense of what AGI means.
LOCATION:Saphire A - Python
URL:https://pretalx.com/pycon-lt-2023/talk/S3DXDJ/
END:VEVENT
END:VCALENDAR
