Title of Book: Prompt Engineering for LLMs –The Art and Science of Building Large Language Model Based Applications
• Author: John Berryman & Albert Ziegler
• Publication: O` REILLY
• Name of the Book Reviewer: Mahajan, Dipali
About Book Content:
Prompt Engineering for LLMs is an excellent book for anyone who wants to understand how to work effectively with large language models. Written by Albert Ziegler and John Berryman—the minds behind GitHub Copilot—the book benefits from the authors’ deep real-world experience in building one of the most successful generative AI tools. Their writing style makes the complex topic of prompt engineering easy to understand and approachable for readers at all levels.
The book explains why prompt engineering is such an important skill in today’s AI-driven world. Instead of treating AI as a black box, it shows readers how to clearly communicate with language models to get accurate, useful, and reliable results. Both the theory behind LLMs and the hands-on techniques are explained in a balanced and engaging way.
Readers learn how LLMs work internally, how to design effective prompts for real applications, and how to provide the right context to improve AI responses. Practical techniques such as few-shot learning, chain-of-thought prompting, and retrieval-augmented generation (RAG) are explained clearly, with guidance on when and how to use them.
Overall, this book is a valuable resource for developers, researchers, and anyone interested in building AI-powered applications. It builds confidence in working with large language models and helps readers unlock their true potential through effective prompt design.
वाचन संकल्प महाराष्ट्राचा
पुस्तक परीक्षण पोर्टल, जयकर ज्ञानस्रोत केंद्र, सावित्रीबाई फुले पुणे विद्यापीठ, पुणे