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Large Language Models:
Immediate Challenges,
Long-term Opportunities
Mimi Calter
mimi@wustl.edu
22 August 2023
From Gutenberg to ChatGPT : Will AI change the mission of Academic & Research Libraries?
Will AI change the mission of
Academic & Research Libraries?
No, mission is core
BUT
AI is already changing the
way we work and will
continue to do so
Uncertainty
Hockey
stick
adoption
curve
Managing
change
Disruptive
technology
Rapid growth
Artificial
Intelligence
Machine
Learning
Generative
AI
Large
Language
Models
Large
Language
Models
Limitations
•Training set
restrictions
•Hallucination
•Bias
Applications & Activities
Academia
• Pedagogy
• Research
• Policy
Publishing
• Copyright
• Acknowledging
Authorship
Libraries
• Instructional
Support
• Library
Applications
Questions for discussion
• Does your organization have policies or procedures already in
place that impact the use of large language models, or other AI
tools?
• What has been their impact?
• What level of capacity does your staff have to educate users
and patrons about LLMs and other AI tools?
• Will programs here at IFLA support that effort
• What role do you see LLMs playing in libraries in 5 years?

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IFLA ARL Hot Topics 2023: Large Language Models: Immediate Challenges, Long-term Opportunities

Editor's Notes

  1. Briefings from Goldman Sachs, e-mail newsletter received 11Aug2023
  2. References: https://arstechnica.com/science/2023/07/a-jargon-free-explanation-of-how-ai-large-language-models-work/ https://www.infotoday.com/cilmag/jul23/Kim--ChatGPT-and-Generative-AI-Tools-for-Learning-and-Research.shtml https://machinelearningmastery.com/what-are-large-language-models/
  3. https://www.nytimes.com/2023/05/01/business/ai-chatbots-hallucination.html https://hbr.org/2019/10/what-do-we-do-about-the-biases-in-ai Limitations from GhatGPT site