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.

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Spis treści

LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential eBook -- spis treści

• 1. Preface
• 2. From NLP to Large Language Models
• 3. Introduction to Prompt Engineering
• 4. OpenAI GPT and Prompting: An Introduction
• 5. Setting Up the Environment
• 6. Few-Shot Learning and Chain of Thought
• 7. Chain of Thought (CoT)
• 8. Zero-Shot CoT Prompting
• 9. Auto Chain of Thought Prompting (AutoCoT)
• 10. Self-Consistency
• 11. Transfer Learning
• 12. Perplexity as a Metric for Prompt Optimization
• 13. ReAct: Reason + Act
• 14. General Knowledge Prompting
• 15. Introduction to Azure Prompt Flow
• 16. LangChain: The Prompt Engineer's Guide
• 17. A Practical Guide to Testing and Scoring Prompts
• 18. General Guidelines and Best Practices
• 19. How and Where Prompt Engineering Is Used
• 20. Anatomy of a Prompt
• 21. Types of Prompts
• 22. Prompt Databases, Tools, and Resources
• 23. Afterword