The book "Prompt Engineering for LLMs" by John Berriman and Albert Ziegler is a cutting-edge guide dedicated to mastering the art of creating effective prompts for interacting with large language models (LLMs) like GPT. As AI technologies advance, prompt engineering is becoming an essential skill for professionals in diverse fields, from application development to data analysis.
The author covers not only the theoretical foundations but also practical approaches to prompt design, revealing how to achieve precise, relevant, and optimal results from language models. Packed with real-world examples, the book offers adaptable strategies for various use cases.
Download "Prompt Engineering for LLMs" for free in PDF today and start building intelligent solutions with the latest LLM technologies!
What Makes This Book Stand Out?
- Practical Focus: Learn to create prompts that work in real-world scenarios.
- Interactivity: The author shares techniques for iterative prompt improvement.
- Modern Tools: Explores popular platforms like OpenAI, Anthropic, and Hugging Face.
- Versatility: Suitable for researchers and developers alike.
- Problem-Solving Strategies: Includes methods for improving accuracy, fixing errors, and enhancing logical outputs.
What Will You Learn from "Prompt Engineering for LLMs" by John Berriman?
This book will teach you how to:
- Understand the fundamentals of interacting with large language models.
- Develop prompts for diverse purposes, from text generation to data analysis.
- Create complex instruction chains (prompt chaining) for multi-step tasks.
- Customize context, manage model parameters, and optimize queries.
- Overcome limitations of language models to boost their effectiveness.
- Apply prompts in app development, automation, and research.
More About the Author of the Book
FAQ for "Prompt Engineering for LLMs"
Q1: Which platforms and tools are covered in the book?
The book "Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications" covers OpenAI (GPT), Hugging Face, Anthropic, and general approaches applicable to most language models.
Q2: Can this book be used for professional development?
Yes, the examples are tailored for crafting prompts suitable for real-world commercial and research projects.
Q3: Does the book address automating work with LLMs?
Absolutely. The guide explores using prompts for automating tasks such as data generation, query processing, and chatbot development.
Q4: Does it explain integration with applications?
Yes, the authors provide detailed guidance on integrating LLMs with web applications, APIs, and other systems.
Q5: Are there examples for specific tasks?
Yes, the book includes examples for tasks such as summarization, translation, code generation, and text analysis.
Information
| Author: | John Berryman, Albert Ziegler | Language: | English |
| Publisher: | O'Reilly Media | ISBN-13: | 978-1098156152 |
| Publication Date: | December 10, 2024 | ISBN-10: | 1098156153 |
| Print Length: | 280 pages | Category: | Machine Learning and Artificial Intelligence Books |
Free download "Prompt Engineering for LLMs" by John Berryman, Albert Ziegler in PDF
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