International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Revolutionizing Natural Language Understanding with Prompt Engineering: A Comprehensive Study

Siddhartha AcharyyaStudent, Department of Computer Application, Narula Institute of Technology, Kolkata, IndiaSoumyadeep MukherjeeStudent, Department of Computer Application, Narula Institute of Technology, Kolkata, IndiaSrinjoy SahaStudent, Department of Computer Application, Narula Institute of Technology, Kolkata, IndiaDebrupa PalAssistant Professor, Department of Computer Application, Narula Institute of Technology, Kolkata, India

Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 692-695

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 12-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.710091

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Abstract

Urbanization is a global phenomenon, with more than half of the world's population residing in cities. This rapid urban growth has placed immense pressure on infrastructure and resources, leading to a multitude of challenges related to sustainability, efficiency, and resilience. Prompt engineering, an emerging field at the intersection of civil engineering and technology, offers innovative solutions to address these urban challenges.

This research paper explores the key concepts, methodologies, and case studies of prompt engineering as a means to promote sustainable urban development. It examines the utilization of cutting-edge technologies such as the Internet of Things (IoT), artificial intelligence (AI), and data analytics in infrastructure management, urban planning, and transportation systems.

By showcasing various successful implementations of prompt engineering practices from around the world, this research underscores the importance of embracing innovative approaches to tackle urban challenges and move towards a more sustainable, resilient, and efficient urban future.

Keywords

Precision, Context, Relevance, Clarity, Conciseness, NLP


Citation of this Article

Siddhartha Acharyya, Soumyadeep Mukherjee, Srinjoy Saha, Debrupa Pal, “Revolutionizing Natural Language Understanding with Prompt Engineering: A Comprehensive Study” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 692-695, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710091

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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