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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

The Rise of AI Pair Programmers – Teaming Up with Intelligent Assistants for Better Code

As artificial intelligence (AI) continues advancing, coding assistants have emerged as powerful tools to aid software developers. In this chapter, we will explore the capabilities of modern coding assistants and how they are transforming the process of writing computer programs.

Coding assistants can generate boilerplate code, explain code functionality in plain language, add comments and reformat existing code, debug errors, and optimize code performance. They can even translate code from one programming language to another.

With LLMs, these AI systems understand developer intents and generate relevant code snippets and documentation. We will look at case studies of using coding assistants to develop website code and Chrome extensions, showing how they speed up development cycles.

Rather than wholly replacing human coders, coding assistants aim to augment programmers’ abilities...

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