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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

Building Smarter Systems – Advanced LLM Integrations

LLMs, such as GPT-4, have exploded in capability. But simply using their basic text completion APIs only scratches the surface of their potential. Going beyond isolated generation allows LLMs to reason, research, converse, and take action.

Integrating LLMs into our existing tools and workflows is crucial for transforming these models from novelties into productivity powerhouses. In this chapter, we’ll explore advanced techniques to level up how you apply LLMs by connecting them to your tech stack.

This chapter provides a general overview of these topics. Covering them in deeper detail could require one or more books just on some of these topics.

The following topics will be covered in this chapter:

  • Automating bulk prompting at scale using platforms such as Google Sheets, Zapier, and Make
  • Building custom AI pipelines with developer tools such as LangChain, Flowise, and Langflow
  • Leveraging diverse...
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