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AuthorMiroslaw Staron

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.

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AIProgramming LanguageBackend
ISBN: 0443276064
Publisher: Elsevier Science
Publish Year: 2026
Language: English
Pages: 250
File Format: PDF
File Size: 9.2 MB
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