Call for Chapters: Unveiling the Future of Prompt Engineering With ChatGPT

Editors

Sikandar Ali Qalati sidqalati@gmail.com, Liaocheng University, China

Call for Chapters

Proposals Submission Deadline: July 14, 2024
Full Chapters Due: October 6, 2024
Submission Date: October 6, 2024

Introduction

The emergence of ChatGPT has been a significant breakthrough in natural language processing (NLP), transforming numerous sectors and applications with its capacity to produce responses that closely mimic human conversation to a broad array of text inputs. At the heart of maximizing ChatGPT's capabilities is the developing field of prompt engineering, which focuses on crafting and refining input prompts to draw specific outputs from the AI model. Properly executed prompt engineering can notably improve ChatGPT's utility in varied roles such as healthcare, customer service, content creation, and software development. However, this process faces hurdles, including the need to overcome biases present in the training datasets and the often experimental nature of developing effective prompts, which can be particularly challenging for users without a technical background. More sophisticated techniques like temperature adjustments, token manipulation, prompt chaining, and sector-specific customizations have proven to enhance the quality of the outputs, as evidenced by practical case studies and experiments. Furthermore, the CLEAR Framework, which stands for conciseness, logic, explicitness, adaptability, and reflectiveness, offers a systematic method for crafting prompts that ensures ethical application and helps reduce biases. In software engineering, ChatGPT has demonstrated potential in functions such as code creation and bug fixing, where the design of prompts plays a vital role in boosting its performance. As this area continues to develop, encouraging innovation and cooperative efforts within the ChatGPT user community will be crucial to further refine prompt engineering methods and fully leverage the transformative power of generative AI. Moreover, this book presents a thorough examination of the transformative capacities of ChatGPT within the domain of artificial intelligence. This manuscript delves into the complexities of prompt engineering—an essential element of AI communication that elevates the usefulness, precision, and effectiveness of generative models such as ChatGPT. It furnishes an exhaustive manual on the strategic creation and enhancement of prompts to attain specific results underpinned by theoretical frameworks and pragmatic implementations. The publication encompasses fundamental principles and sophisticated strategies in prompt construction and investigates the moral aspects of AI interactions. By means of real-life illustrations, expert discussions, and systematic guides, the manuscript strives to furnish readers with the expertise necessary to excel in this burgeoning domain.

Objective

This book is positioned to offer a significant contribution to the research community of AI and machine learning through the formalization of prompt engineering practices. It is anticipated to be a pioneering work that systematically dissects the methodologies, tools, and factors at play in prompt engineering, thus delineating a novel area of exploration within AI research. Scholars and professionals will perceive the book as indispensable due to its comprehensive analysis and pragmatic advice, which can be readily applied to existing projects and experiments. Furthermore, the manuscript's examination of ethical considerations in prompt creation will incite discussion and promote further exploration into responsible AI development and utilization. Through the provision of a robust theoretical framework supported by empirical data, the manuscript will cultivate innovation and advocate for a more nuanced comprehension of human-AI interactions.

Target Audience

The key target audience of this publication consists of AI researchers, data scientists, and practitioners of machine learning actively involved in the creation and implementation of AI models, seeking to enhance their proficiency in prompt engineering. Furthermore, it is anticipated to offer significant value to instructors and students in the fields of computer science and AI, serving as a valuable resource for learning and academic exploration. In addition to academia, individuals such as AI consultants and professionals in various industries engaged in the development of AI applications will gain valuable insights and practical illustrations from this work. The book is also tailored towards business executives who are well-versed in technology and decision-makers aiming to grasp the capabilities and operational methods of AI in order to enhance their strategic utilization of technology within business operations.

Submission Procedure

Researchers and practitioners are invited to submit on or before July 14, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by July 28, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by October 6, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Unveiling the Future of Prompt Engineering With ChatGPT. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery^® online submission manager.

Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.

Important Dates

July 14, 2024: Proposal Submission Deadline
July 28, 2024: Notification of Acceptance
October 6, 2024: Full Chapter Submission
November 17, 2024: Review Results Returned
December 15, 2024: Final Acceptance Notification
December 22, 2024: Final Chapter Submission

Inquiries

Akbar Khan akq.qalati@gmail.com Shah Abdul Latif University akq.qalati@gmail.com Sikandar Ali Qalati sidqalati@gmail.com Liaocheng University sidqalati@gmail.com

Classifications

Business and Management; Computer Science and Information Technology; Education; Social Sciences and Humanities

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