Description
Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications is a comprehensive guide authored by industry experts John Berryman and Albert Ziegler. This book delves into the transformative potential of large language models (LLMs) and how they are revolutionizing various domains by automating tasks and solving complex problems. The book emphasizes the importance of prompt engineering, a crucial skill for unlocking the full capabilities of LLMs.
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Readers will learn about the architecture of LLMs and how to interact with them effectively. The book provides a detailed strategy for crafting prompts tailored to specific applications, ensuring that users can communicate their ideas in a language model-friendly format. It covers essential techniques such as few-shot learning, chain-of-thought prompting, and retrieval-augmented generation (RAG).
Published by O'Reilly Media, this first edition is set to be released on December 31, 2024. With a print length of 280 pages, the book is designed to equip readers with both the philosophical foundation and practical techniques needed to build the next generation of LLM-powered applications. It is an invaluable resource for developers, data scientists, and AI enthusiasts looking to harness the power of LLMs in their work.
- CategoryPrompt Engineering Tools
Book Details
Understand LLM architecture
Design prompt-crafting strategies
Gather and present context elements
Master few-shot learning techniques
Learn chain-of-thought prompting
Explore retrieval-augmented generation
Communicate effectively with AI
Build LLM-powered applications
Who This Book Is For
- AI Application Development
- Prompt Crafting
- AI Communication
- Educational Resource
- AI Research
