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UID:53fcf7f3-78b3-460b-8ff7-9997f1567dab@locally-social.com
DTSTAMP:20261203T183000Z
DTSTART:20261203T183000Z
DTEND:20261203T223000Z
SUMMARY:Getting Proper about Prompting:  An Introduction to Prompt Engineer
 ing for Social Science and Survey Research
LOCATION:University of North Carolina at Chapel Hill\, Chapel Hill\, NC\, U
 SA
DESCRIPTION:Take a glance through recent news or social media and you would
  be hard-pressed not to see mentions of chatbots and artificial intelligen
 ce (AI) methods aimed at generating text\, images and other content.  Rece
 nt work by Eloundou and colleagues (2023) explored the potential impact of
  these types of generative AI on labor markets\, and survey research\, spe
 cifically was among the top two most impacted industries.  Professor Andre
 w Ng has been cited as saying “AI won’t replace human workers\, but 
 ‘people that use it will replace people that don’t.’”  Much of the
  way researchers in the social sciences and survey research are incorporat
 ing AI into their workflow involves some type of prompting.  Prompt Engine
 ering approaches along with more nuanced fine tuning approaches are being 
 used and refined to better incorporate more robust approaches for AI incor
 poration into the research process.  In this short course we will provide 
 an overview of the emerging field of prompt engineering and illustrate how
  a prompt engineering approach and problem specification mindset can be us
 eful for maximizing the utility of large language models\, specifically\, 
 within social science.  Concepts and experimental approaches will be illus
 trated using several real-world\, grounded and published work.  The shortc
 ourse also incorporates an experiential component that encourages particip
 ants to apply basic concepts that we cover in the course in real-time as w
 e work on exercises together in the later part of the course.\n\nRegistrat
 ion and fee (refundable for UNCCH students) are required for Zoom link acc
 ess.
URL:https://locally-social.com/share/event/53fcf7f3-78b3-460b-8ff7-9997f156
 7dab
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