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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 FREE CHAPTER
2. Chapter 1: Understanding Prompting and Prompt Techniques 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

Summary

Chatbots powered by LLMs such as GPT-3/4 and Claude are transforming conversational AI and enabling more natural, human-like digital experiences. As demonstrated through the examples detailed in this chapter, these powerful generative models allow bots to truly understand natural language, hold free-flowing conversations with users, and complete sophisticated workflows from commerce transactions to personalized assessments.

The key to unlocking their capabilities is thoughtful prompt engineering. Developers can inject critical context, domain knowledge, business logic, data sources, and more into the prompts to shape the bot’s behavior. While interacting in the playground provides a glimpse of the potential, custom solutions built on LLM APIs open up many more possibilities.

These AI-powered chatbots maintain conversation state and memory, integrate with backend systems, optimize performance based on user interactions, and deploy seamlessly across platforms. They...

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