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Unlocking the Secrets of Prompt Engineering

You're reading from   Unlocking the Secrets of Prompt Engineering Master the art of creative language generation to accelerate your journey from novice to pro

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781835083833
Length 316 pages
Edition 1st Edition
Concepts
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Author (1):
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Gilbert Mizrahi Gilbert Mizrahi
Author Profile Icon Gilbert Mizrahi
Gilbert Mizrahi
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Introduction to Prompt Engineering
2. Chapter 1: Understanding Prompting and Prompt Techniques FREE CHAPTER 3. Chapter 2: Generating Text with AI for Content Creation 4. Part 2:Basic Prompt Engineering Techniques
5. Chapter 3: Creating and Promoting a Podcast Using ChatGPT and Other Practical Examples 6. Chapter 4: LLMs for Creative Writing 7. Chapter 5: Unlocking Insights from Unstructured Text – AI Techniques for Text Analysis 8. Part 3: Advanced Use Cases for Different Industries
9. Chapter 6: Applications of LLMs in Education and Law 10. Chapter 7: The Rise of AI Pair Programmers – Teaming Up with Intelligent Assistants for Better Code 11. Chapter 8: AI for Chatbots 12. Chapter 9: Building Smarter Systems – Advanced LLM Integrations 13. Part 4:Ethics, Limitations, and Future Developments
14. Chapter 10: Generative AI – Emerging Issues at the Intersection of Ethics and Innovation 15. Chapter 11: Conclusion 16. Index 17. Other Books You May Enjoy

To get the most out of this book

To get the most out of this book on prompt engineering, you need access to OpenAI’s ChatGPT, Anthropic’s Claude 2, and Google’s Bard. We start from fundamentals, so no deep technical expertise is required. You should be keen to engage creatively and iteratively in crafting effective language model prompts. An inquiring mindset will be rewarded as prompt engineering develops skills in articulating tasks and unlocking capabilities. Our goal is to set you on a self-directed journey.

We primarily focus on crafting prompts for OpenAI’s ChatGPT, Claude from Anthropic, and Google’s new Bard language model, covering the available techniques across these industry-leading systems. The code and examples are compatible with macOS, Windows 10+, or common Linux distributions. Hardware requirements are modest an internet connection and computer from the past 5-7 years will suffice.

We’ve structured the book to accelerate applying prompt engineering to real problems. If grasping concepts rapidly and jumping quickly into hands-on activities suits your learning style, you have found the right guide.

Software/hardware covered in the book

Operating system requirements

OpenAI ChatGPT, GPT-3.5, and GPT-4

Windows, macOS, or Linux

Anthropic Claude 2

Google Bard

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