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What is Prompt Engineering

Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation
It is the process of designing and crafting specific prompts or input instructions for a machine learning model, particularly natural language processing models like GPT-3, in order to elicit desired responses or behaviors from the model.
Published in Chapter:
Unlocking the Power of Prompt Engineering: Diverse Applications and Case Studies
K. S. Jasmine (R.V. College of Engineering, India)
DOI: 10.4018/979-8-3693-1351-0.ch020
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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More Results
Standing on the Shoulders of Generative AI
Collaborative skills with Generative AI involve producing desired outcomes based on human-provided input.
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Empowering Educators With Generative AI Tools and Support
A process of making generative AI tools to produce better output. It focuses on accuracy and effectiveness of generative AI.
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Ethical AI Integration in Academia: Developing a Literacy-Driven Framework for LLMs in South African Higher Education
The skill of formulating queries to elicit relevant and appropriate responses from LLMs models.
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Empowering Teachers With Generative AI Tools and Support
The practice of carefully designing and optimizing the prompts provided to generative AI models to control and improve their outputs.
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GenAI, Robots, and Inclusive Special Education: Autism Spectrum Disorder in the Age of Generative AI
Prompt engineering refers to creating, shaping, and fine-tuning inputs or queries to generate desired responses or behaviors from an AI language model.
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Transforming Education: Generative AI and Immediate Engineering in Synthetic Content Creation
the term refers to the practice of creating and optimizing input requests by selecting appropriate words, phrases, sentences, punctuation and separator characters to effectively use LLMs (Large Language Models).
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Empowering Teaching With Prompt Engineering: How to Integrate Curriculum, Standards, and Assessment for a New Age
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Revolutionizing Content Creation and Curriculum Development Through Generative AI
Crafting precise and effective input instructions to direct AI models in producing the intended output or responses.
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