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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
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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

Part 2:Basic Prompt Engineering Techniques

Part 2 provides you with an essential toolkit of prompt engineering techniques that enable a wide range of practical applications. Chapter 3 demonstrates leveraging AI to conduct research and prepare customized questions to deliver compelling podcast episodes and ace job interviews. You will learn strategies to promote podcast content using AI summarization and soundbite generation.

Chapter 4 guides you through utilizing large language models to unlock new frontiers of imagination for fiction writing and poetry. Proven techniques to develop characters, settings, and plotlines and refine AI-generated drafts are covered. Chapter 5 shifts to more functional applications – sentiment analysis for understanding emotions in text, data classification for organizing information, data cleaning for improving data quality, and pattern matching for extracting structured data from unstructured sources.

Together, these chapters equip you with...

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