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LLM Prompt Engineering for Developers
LLM Prompt Engineering for Developers

LLM Prompt Engineering for Developers: The Art and Science of Unlocking LLMs' True Potential

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Profile Icon Aymen El Amri
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£9.99 £14.99
Book May 2024 251 pages 1st Edition
eBook
£9.99 £14.99
Arrow left icon
Profile Icon Aymen El Amri
Arrow right icon
£9.99 £14.99
Book May 2024 251 pages 1st Edition
eBook
£9.99 £14.99
eBook
£9.99 £14.99

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Key benefits

  • In-depth coverage of prompt engineering from basics to advanced techniques.
  • Insights into cutting-edge methods like AutoCoT and transfer learning.
  • Comprehensive resource sections including prompt databases and tools.

Description

"LLM Prompt Engineering For Developers" begins by laying the groundwork with essential principles of natural language processing (NLP), setting the stage for more complex topics. It methodically guides readers through the initial steps of understanding how large language models work, providing a solid foundation that prepares them for the more intricate aspects of prompt engineering. As you proceed, the book transitions into advanced strategies and techniques that reveal how to effectively interact with and utilize these powerful models. From crafting precise prompts that enhance model responses to exploring innovative methods like few-shot and zero-shot learning, this resource is designed to unlock the full potential of language model technology. This book not only teaches the technical skills needed to excel in the field but also addresses the broader implications of AI technology. It encourages thoughtful consideration of ethical issues and the impact of AI on society. By the end of this book, readers will master the technical aspects of prompt engineering & appreciate the importance of responsible AI development, making them well-rounded professionals ready to focus on the advancement of this cutting-edge technology.

What you will learn

  • Understand the principles of NLP and their application in LLMs.
  • Set up and configure environments for developing with LLMs.
  • Implement few-shot and zero-shot learning techniques.
  • Enhance LLM outputs through AutoCoT and self-consistency methods.
  • Apply transfer learning to adapt LLMs to new domains.
  • Develop practical skills in testing & scoring prompt effectiveness.

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : May 23, 2024
Length 251 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781836201731
Category :
Languages :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : May 23, 2024
Length 251 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781836201731
Category :
Languages :

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Table of Contents

23 Chapters
Preface
From NLP to Large Language Models
Introduction to Prompt Engineering
OpenAI GPT and Prompting: An Introduction
Setting Up the Environment
Few-Shot Learning and Chain of Thought
Chain of Thought (CoT)
Zero-Shot CoT Prompting
Auto Chain of Thought Prompting (AutoCoT)
Self-Consistency
Transfer Learning
Perplexity as a Metric for Prompt Optimization
ReAct: Reason + Act
General Knowledge Prompting
Introduction to Azure Prompt Flow
LangChain: The Prompt Engineer's Guide
A Practical Guide to Testing and Scoring Prompts
General Guidelines and Best Practices
How and Where Prompt Engineering Is Used
Anatomy of a Prompt
Types of Prompts
Prompt Databases, Tools, and Resources
Afterword
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