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Generative AI for Software Developers

You're reading from   Generative AI for Software Developers Future-proof your career with AI-powered development and hands-on skills

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Product type Paperback
Published in Oct 2025
Last Updated in Oct 2025
Publisher Packt
ISBN-13 9781806671199
Length 454 pages
Edition 1st Edition
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Authors (5):
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Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
Kamal Arora Kamal Arora
Author Profile Icon Kamal Arora
Kamal Arora
Ashutosh Dubey Ashutosh Dubey
Author Profile Icon Ashutosh Dubey
Ashutosh Dubey
Dhiraj Thakur Dhiraj Thakur
Author Profile Icon Dhiraj Thakur
Dhiraj Thakur
Sanjeet Sahay Sanjeet Sahay
Author Profile Icon Sanjeet Sahay
Sanjeet Sahay
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Table of Contents (14) Chapters Close

Preface
1. Chapter 1 – The Art and Science of Generative AI FREE CHAPTER 2. Chapter 2 – Getting Started with Generative AI 3. Chapter 3 – Generative AI Architecture Fundamentals 4. Chapter 4 – Generative AI in Software Development 5. Chapter 5 – Prompt Engineering For Software Developers 6. Chapter 6 – Integrating Generative AI into the Software Development Cycle 7. Chapter 7 – Ethical and Security Best Practices in Generative AI 8. Chapter 8 –Generative AI Application Architecture and Design 9. Chapter 9 – Reinforcement Learning and AI Agent Architecture Design 10. Chapter 10 – Well-Architecting and Fine-tuning GenAI Application 11. Chapter 11 – Building a GenAI App from Prototype to Production 12. Closing Thoughts
13. Other books you may enjoy

Chapter 3 – Generative AI Architecture Fundamentals

In the previous chapter, you gained an understanding of various use cases of Generative AI and how to begin learning GenAI models to apply in your daily life. You learned that generative AI foundation models can create new, original content by learning from patterns in data, opening doors to creative applications and practical solutions across industries, from entertainment to healthcare.

Let's explore the fundamentals of generative AI architecture and what happens behind the scenes to make these GenAI foundation models work like magic. Understanding GenAI architecture is essential for anyone working in AI-driven fields. It is a rapidly evolving technology that underpins advancements in areas like image synthesis, text generation, and even scientific discoveries. This chapter provides a foundation for grasping generative AI's core principles and architectures, enabling you to develop and evaluate models that generate...

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