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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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Toc

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

Text Summarization Architecture

Text summarization is a powerful application of generative AI, allowing users to condense lengthy documents or articles into concise summaries. By leveraging a language model, you can extract the most important information from a text while maintaining accuracy and coherence. Text summarization has a wide range of use cases, such as:

  • News article summarization: News websites and aggregators use generative AI to automatically generate concise summaries of news articles, helping users grasp the essence of the news without reading the entire piece.

  • Legal document summarization: Law firms and professionals can summarize lengthy legal documents, contracts, or case files, saving time by extracting only the most relevant details during the review process.

  • Meeting transcript summarization: Generative AI can process transcripts of meetings, presentations, or conference calls, summarizing the key points for quick review and saving participants from going through...

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Tech Concepts
36
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