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Mastering the Art of Prompting: Strategies for Precision, Creativity, and Control
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Author(s): R. N. Ravikumar (Marwadi University, Rajkot, India), S. Aarthi (Marwadi University, Rajkot, India), Yulduz Urazbaeva (Mamun University, Khiva, Uzbekistan), Zamira Atamuratova (Urgench State University, Urgench, Uzbekistan), Sadullayeva Moxinur (Urgench State Pedagogical Institute, Urgench, Uzbekistan)and Jakhongir Shaturaev (Termez University of Economics and Service, Termez, Uzbekistan)
Copyright: 2026
Pages: 32
Source title:
Advanced AI and Prompt Engineering Techniques and Resources
Source Author(s)/Editor(s): Houssem Chemingui (Brest Business School, France)and Munir Ahmad (Survey of Pakistan, Pakistan)
DOI: 10.4018/979-8-3373-0250-8.ch001
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Abstract
Prompt engineering is evolving into both an art and a science, essential for effective interaction with AI models like GPT. As generative AI advances, crafting prompts demands greater precision, relevance, and creativity. This chapter from Advanced Prompt Engineering Techniques and Resources explores how AI interprets human input, detailing methods such as zero-shot, few-shot, chain-of-thought, scaffolding, and persona-based prompting. It provides strategies to reduce hallucinations, improve clarity, and tailor outputs across domains like content creation, research, and business automation. Practical tools, prompt templates, and benchmarking techniques are introduced to support continuous refinement. Ethical aspects like bias, fairness, and human-AI collaboration are also examined, positioning prompt engineering as both a practical necessity and an emerging academic discipline. Readers gain foundational knowledge and actionable frameworks to design more impactful and responsible AI prompts.
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