- Title: Prompt Engineering for LLMs
- Subtitle: The Art and Science of Building Large Language Model–Based Applications
- Authors: John Berryman and Albert Ziegler
- Publication Date: 2024
- Publisher: O'Reilly
- ISBN-13: 978-1098156152
- Pages: 280
- Amazon Rating: 5 stars
- Goodreads Rating: 0.00 stars
Links: Amazon | Goodreads | Publisher
Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs.
Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format. By learning both the philosophical foundation and practical techniques, you'll be equipped with the knowledge and confidence to build the next generation of LLM-powered applications.
- Understand LLM architecture and learn how to best interact with it
- Design a complete prompt-crafting strategy for an application
- Gather, triage, and present context elements to make an efficient prompt
- Master specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG
- Introduction to Prompt Engineering
- Understanding LLMs
- Moving to Chat
- Designing LLM Applications
- Prompt Content
- Assembling the Prompt
- Taming the Model
- Conversational Agency
- LLM Workflows
- Evaluating LLM Applications
- Looking Ahead