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

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781835083833

Length 316 pages

Edition 1st Edition

Concepts

GPT/LLMs

Author (1):

Gilbert Mizrahi

View More author details

Table of Contents (18) Chapters

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

Why subscribe?

17. Other Books You May Enjoy

AI for legal education and training

AI holds enormous potential to transform legal education by providing adaptive and personalized instruction to law students. AI-based tools can offer customized feedback, simulated courtroom practice, and unique insights to supplement traditional law school pedagogy.

However, effectively harnessing the power of AI relies heavily on engineering appropriate prompts. Well-designed prompts allow the AI system to tailor its responses and capabilities to the specific needs of each student. Prompts frame scenarios, shape feedback, and define the parameters for AI-assisted exercises such as drafting arguments and oral advocacy practice.

Here are a few ways an AI system could be useful for legal education and training:

Review and summarize case law: An AI system could read through legal cases and identify the key facts, issues, rationale, and decisions in each case. This would help law students quickly get up to speed on relevant case law.