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Achieving Efficient Prompt Engineering in Large Language Models Using a Hybrid and Multi-Objective Optimization Framework Cover

Achieving Efficient Prompt Engineering in Large Language Models Using a Hybrid and Multi-Objective Optimization Framework

Cybernetics and Information Technologies
Volume 25 (2025): Issue 2 (June 2025)
By: Sridevi Kottapalli Narayanaswamy and  Rajanna Muniswamy  
Open Access
|Jun 2025

Authors

Sridevi Kottapalli Narayanaswamy

sridevi.kn23@gmail.com

Department of Information Science and Engineering, Vemana Institute of Technology, Bengaluru, India

Rajanna Muniswamy

mrajanna.ise@gmail.com

Department of Information Science and Engineering, Vemana Institute of Technology, Bengaluru, India
DOI: https://doi.org/10.2478/cait-2025-0012 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 67 - 82
Submitted on: Mar 11, 2025
Accepted on: May 4, 2025
Published on: Jun 25, 2025
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Bayesian optimization,
BERT,
Evolutionary algorithm,
Large language model,
Prompt engineering
Related subjects:
Computer sciences,
Information technology

© 2025 Sridevi Kottapalli Narayanaswamy, Rajanna Muniswamy, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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