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Practical Generative AI with ChatGPT

You're reading from   Practical Generative AI with ChatGPT Unleash your prompt engineering potential with OpenAI technologies for productivity and creativity

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Product type Paperback
Published in Apr 2025
Publisher Packt
ISBN-13 9781836647850
Length 386 pages
Edition 2nd Edition
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Author (1):
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Valentina Alto Valentina Alto
Author Profile Icon Valentina Alto
Valentina Alto
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Table of Contents (18) Chapters Close

Preface 1. Fundamentals of Generative AI and OpenAI
2. Introduction to Generative AI FREE CHAPTER 3. OpenAI and ChatGPT: Beyond the Market Hype 4. ChatGPT in Action
5. Understanding Prompt Engineering 6. Boosting Day-to-Day Productivity with ChatGPT 7. Developing the Future with ChatGPT 8. Mastering Marketing with ChatGPT 9. Research Reinvented with ChatGPT 10. Unleashing Creativity Visually with ChatGPT 11. Exploring GPTs 12. OpenAI for Enterprises
13. Leveraging OpenAI’s Models for Enterprise-Scale Applications 14. Epilogue and Final Thoughts 15. Other Books You May Enjoy
16. Index
Appendix

Architectural patterns to build applications with models’ APIs

The rise of GenAI and LLMs paved the way for a revolution in the field of software development. In fact, from “modern applications” – referring to microservices-based architectures and rapid innovation with CI/CD – we now talk about “intelligent applications” that are infused with GenAI models defined by natural language interaction, data-driven experience, and velocity of adaptation to new models’ releases.

An intelligent app can be described with the following illustration:

Figure 10.3: Anatomy of an intelligent application powered by an LLM

In the above architecture, we depict the anatomy of an intelligent application with the following features:

  • It has a natural language interface (it might be text- or voice-based).
  • It is powered by an LLM that acts as the “brain” of the app.
  • It has a knowledge base that the...
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