finelybook
Engineering Generative AI-Based Software
Author(s): Miroslaw Staroń Ph.D. (Author)
- Publisher finelybook 出版社: Morgan Kaufmann
- Publication Date 出版日期: January 27, 2026
- Edition 版本: 1st
- Language 语言: English
- Print length 页数: 206 pages
- ISBN-10: 0443276064
- ISBN-13: 9780443276064
Book Description
Engineering Generative-AI Based Software discusses both the process of developing this kind of AI-based software and its architectures, combining theory with practice. Sections review the most relevant models and technologies, detail software engineering practices for such systems, e.g., eliciting functional and non-functional requirements specific to generative AI, explore various architectural styles and tactics for such systems, including different programming platforms, and show how to create robust licensing models. Finally, readers learn how to manage data, both during training and when generating new data, and how to use generated data and user feedback to constantly evolve generative AI-based software.
As generative AI software is gaining popularity thanks to such models as GPT-4 or Llama, this is a welcomed resource on the topics explored. With these systems becoming increasingly important, Software Engineering Professionals will need to know how to overcome challenges in incorporating GAI into the products and programs they develop.
- Provides a holistic software engineering approach to constructing generative AI software
- Shows how to use modern models to create long-term products that bring value
- Presents a combination of process, product, and business models for generative AI-based software engineering
About the Author
Miroslaw Staron is a professor of software engineering at the Department of Computer Science and Engineering at the University of Gothenburg, Sweden. Dr. Staron has been active in national bodies such as AI Sweden, AI Competence for Sweden, and Swedsoft. His research work focuses on software design, metrics, machine learning, and software quality.
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PDF | 6 MB | 2026-01-31
