Prompt Engineering for Large Language Models: Best Practices and Tools
Edited by Dr. Sanjay Agal
Step into the future of human-AI collaboration with this essential guide to mastering the art of communication with large language models.
As artificial intelligence becomes increasingly integrated into education, business, and creative industries, the ability to craft clear, effective prompts is no longer optional—it's transformative. Prompt Engineering for Large Language Models demystifies the strategies behind generating precise, relevant, and impactful outputs from AI systems like GPT, PaLM, and more.
From foundational concepts to advanced techniques, this book offers a hands-on exploration of prompt crafting, optimization tools, real-world use cases, and ethical considerations. Whether you're a student curious about AI, a teacher looking to enhance learning experiences, or a professional aiming to improve productivity through automation—this book equips you with the skills to make AI work smarter for you.
Featuring best practices, insightful case studies, and a beginner-friendly approach, this is your gateway to unlocking the full potential of generative AI.
Discover how the right prompt can change everything.
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Dr Sanjay Agal, Nikunj Bhavsar, Manisha Chandramaully, Akruti Pandwal, Dr. Neelesh Kumar Jain
Dr. Sanjay Agal is a distinguished academician, researcher, and thought leader in the field of Artificial Intelligence and Data Science. Currently serving as the Professor and Head of the Department of Artificial Intelligence and Data Science at Parul University, Vadodara, India, Dr. Agal has dedicated his career to shaping the future of engineering education through innovation, research, and mentorship.
Previously, he held the position of Principal at Dr. V.R. Godhania College of Engineering & Technology, Porbandar, where his leadership significantly contributed to academic excellence and institutional growth. Endorsed by Gujarat Technological University (GTU) for the Principal’s role in 2023, his journey is a testament to a lifelong commitment to educational impact.
Dr. Agal has authored six books and published numerous research papers in reputed international journals, spanning domains such as AI, machine learning, wireless communication, and emerging technologies. His work is further enriched by several granted patents, showcasing his drive to connect theoretical exploration with real-world application.
As the editor of Prompt Engineering for Large Language Models: Best Practices and Tools, Dr. Agal brings his deep expertise and academic rigor to a rapidly evolving field. His vision for this work is rooted in empowering learners, educators, and professionals with the skills needed to harness the power of generative AI through effective prompt design.
With a focus on interdisciplinary collaboration and practical innovation, Dr. Agal fosters an environment where curiosity leads to discovery and learning becomes a pathway to societal contribution. His passion lies in inspiring the next generation of engineers, researchers, and AI practitioners to explore, innovate, and lead.
