Engineering Generative AI-Based Software

Engineering Generative AI-Based Software dives into the intricacies of creating software using generative AI technologies. The book navigates through essential topics such as the current technological bottlenecks, training instruct models, and the phases of software development. Authored by Miroslaw Staron, it provides practical insights into the application of AI in modern software engineering.

What You'll Learn

• Understand bottlenecks and latent spaces in generative AI
• Implement few-shot learning techniques
• Secure Safe for Work content in AI systems
• Explore architectural tactics for generative AI software
• Discover training methods for instruct models

Who This Book Is For

This book is ideal for computer science students and software engineers who are keen to explore the evolving field of generative AI. It assumes a basic understanding of AI and software development principles.

What You Need to Know First

A fundamental grasp of programming and machine learning concepts is recommended before diving into this book. Familiarity with AI models and software engineering techniques will enhance the learning experience.

Why This Book

This book distinguishes itself by focusing on the practical application of generative AI in software systems, emphasizing real-world case studies and current technologies that employ these advanced methods.

What's Inside

Written by Miroslaw Staron and published by Elsevier, this 208-page book offers a comprehensive look at building AI-based software systems. It includes detailed chapters on model portability, cloud services, and embedding AI in existing products.