Unlocking the Power of Prompt Engineering: Diverse Applications and Case Studies

Unlocking the Power of Prompt Engineering: Diverse Applications and Case Studies

K. S. Jasmine
ISBN13: 9798369313510|ISBN13 Softcover: 9798369348178|EISBN13: 9798369313527
DOI: 10.4018/979-8-3693-1351-0.ch020
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MLA

Jasmine, K. S. "Unlocking the Power of Prompt Engineering: Diverse Applications and Case Studies." Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation, edited by Ramesh C. Sharma and Aras Bozkurt, IGI Global, 2024, pp. 411-432. https://doi.org/10.4018/979-8-3693-1351-0.ch020

APA

Jasmine, K. S. (2024). Unlocking the Power of Prompt Engineering: Diverse Applications and Case Studies. In R. Sharma & A. Bozkurt (Eds.), Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation (pp. 411-432). IGI Global. https://doi.org/10.4018/979-8-3693-1351-0.ch020

Chicago

Jasmine, K. S. "Unlocking the Power of Prompt Engineering: Diverse Applications and Case Studies." In Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation, edited by Ramesh C. Sharma and Aras Bozkurt, 411-432. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1351-0.ch020

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Abstract

Prompt engineering holds immense relevance in the present world due to its pivotal role in advancing natural language processing (NLP) technologies and artificial intelligence (AI) applications. Also prompt engineering is instrumental in shaping the present landscape of AI-driven technologies, making them more efficient, accessible, and personalized. As these technologies continue to evolve, prompt engineering will remain a vital area of research and development, ensuring that AI systems effectively meet the diverse and dynamic needs of our society. Also, generative AI can create personalized learning experiences for students by analyzing individual learning styles, preferences, and progress. In this context, the chapter explores the art and science of prompt engineering. Through a collection of case studies and real-world applications, the chapter showcases the versatility of prompt engineering, offering insights into how it enhances machine comprehension, content generation, and problem-solving across domains. Here the case studies are discussed using ChatGPT 3.5 version.

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