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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

Building conversational interfaces with LLM APIs

In this section, we will create a chatbot that allows users to take pictures of invoices and save the structured data to a Google Sheet. For this chatbot, I will use Twnel, a messaging application that allows us to create conversational automations to automate processes with the extended supply chain. However, a similar implementation can be done with other chatbot builders, such as UChat, Botpress, and others.

The chatbot workflow for the chatbot that uses AI to structure unstructured text extracted from an image using OCR looks like this:

Figure 8.2: Structuring data from an image chatbot flow

Figure 8.2: Structuring data from an image chatbot flow

This chatbot uses AI to structure unstructured text extracted from an image using optical character recognition (OCR). The workflow is as follows:

  1. The user sends an image to the chatbot through a messaging platform. This platform needs to allow users to either upload existing images or take new pictures...
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