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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

Commenting, formatting, and optimizing code

Writing robust, maintainable code involves more than just functionality. It requires careful organization, clear comments, consistent styling, and optimal performance. AI can provide valuable assistance with all of these aspects of high-quality code.

Powerful language models can analyze code and add descriptive comments to clarify the intent and logic, improving readability. The AI can also rename variables and methods with semantic, readable names.

Additionally, AI can reformat code to conform to style guides and best practices. This enhances consistency and maintainability across large code bases.

The AI can even optimize code by refactoring inefficient logic, streamlining data structures, and improving algorithms. This automated optimization can provide huge performance gains and lower resource consumption.

Let’s look at an example prompt and response showing the AI’s capabilities to comment, reformat, and optimize...

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