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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

Translating code from one language to another

In today’s world of diverse programming languages, developers often need to translate code from one language to another. This could be to leverage new platforms, utilize modern languages, or understand unfamiliar code.

Traditionally, this required deep expertise in multiple languages. But now, AI is automating code translation – converting code bases from one language to another with ease.

For example, a Python machine learning pipeline could be translated into production-ready Java code. The AI transforms the syntax and structure between languages while preserving functionality.

This code conversion leverages techniques such as parsing, optimization, and code generation. The AI analyzes the input code, extracts meaning and logic, and then regenerates equivalent output code.

Though some manual review is still required, AI drastically reduces the time and effort of translating code. It empowers developers to switch...

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