September 2024
Intermediate to advanced
218 pages
5h 28m
English
Overview
This groundbreaking book equips software developers and architects with the tools and frameworks needed to integrate Generative AI into diverse applications. You'll explore practical design patterns and step-by-step strategies for working with advanced models like GPT-4, DALL-E, and others. From concept to deployment, you will learn how to leverage these technologies effectively.
What this Book will help me do
- Master the core components of Generative AI, including fine-tuning and retrieval-augmented generation.
- Understand and implement integration frameworks and patterns for GenAI across various use cases.
- Develop practical applications using examples for summarization, metadata extraction, and more.
- Implement responsible AI practices, covering ethics, bias mitigation, and data privacy.
- Gain operational knowledge including deployment, hosting, and model monitoring techniques.
Author(s)
Juan Pablo Bustos and Luis Lopez Soria are accomplished software engineers and technical consultants with extensive experience in artificial intelligence. Juan is known for his expertise in AI application design, while Luis specializes in data architectures and ethical AI implementations. Together, they bring a wealth of practical knowledge and an engaging teaching style.
Who is it for?
This book is ideal for software developers and technical professionals with a foundational understanding of programming and AI principles. If you are seeking to incorporate GenAI capabilities into your projects, add value to your products, or better understand the practical aspects of AI-powered application design, this book will serve as a valuable guide. Advanced professionals and architects looking for tested patterns and new insights into GenAI integration will also find it highly useful.
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