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Prompt Engineers or Librarians? An Exploration.

Borui Zhang1

  • 1Academic Research Consulting and Services Department, Smathers Libraries, University of Florida, Gainesville, Florida, USA.

Medical Reference Services Quarterly
|October 30, 2023
PubMed
Summary
This summary is machine-generated.

Prompt engineers" are emerging professionals whose skills overlap with librarians, particularly in information retrieval. Recognizing distinct AI and library science trends is crucial for skill development and efficiency.

Keywords:
Generative AIlarge language modelsliterature databasesliterature searchprompt engineering

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Area of Science:

  • Library and Information Science
  • Artificial Intelligence

Background:

  • The emergence of "prompt engineers" as a professional title extends beyond generative artificial intelligence (AI) development.
  • Certain tasks performed by prompt engineers, such as conducting sophisticated search queries, bear resemblance to traditional librarian responsibilities.

Purpose of the Study:

  • To explore the professional role of "prompt engineers" and its intersection with library science.
  • To compare the skill sets and tasks of prompt engineers with those of librarians.
  • To emphasize the need for understanding emerging AI trends and their implications for information professionals.

Main Methods:

  • Comparative analysis of professional roles and tasks.
  • Literature review on generative AI and library science trends.
  • Discussion of skill acquisition for enhanced work efficiency.

Main Results:

  • Prompt engineering involves skills analogous to librarian functions, particularly in information retrieval and query formulation.
  • Librarians can effectively integrate AI models with traditional databases, acknowledging the unique characteristics of each information resource.
  • There is a growing need to identify and acquire specific skills to optimize performance in the evolving information landscape.

Conclusions:

  • The role of prompt engineering warrants careful consideration within the broader information science field.
  • Collaboration between AI models and traditional library resources presents opportunities for enhanced information access.
  • Continuous learning and adaptation to AI development trends are essential for library science professionals.