Adrián González Sánchez, Jaime De Mora, Jorge García Ximénez | Generative AI on Microsoft Azure. From Large Language Models to Advanced Multi-Agent Systems (2026) [PDF, EPUB]
Автор: Adrián González Sánchez, Jaime De Mora, Jorge García Ximénez
Издательство: O’Reilly Media
ISBN: 979-8-341-62328-6, 979-8341623255
Жанр: Microsoft Programming, Natural Language Processing, Cloud Computing
Язык: Английский
Формат: PDF, EPUB
Качество: Изначально электронное (ebook)
Иллюстрации: Цветные и черно-белые
Описание:Companies are now moving generative AI projects out of the lab and into production environments. To support these increasingly sophisticated applications, they’re turning to advanced practices such as multi-agent architectures and complex code-based frameworks. This practical handbook shows you how to leverage cutting-edge techniques using Microsoft’s powerful ecosystem of tools to deploy trustworthy AI systems tailored to your organization’s needs.
Written for and by AI professionals, Generative AI on Microsoft Azure goes beyond the technical core aspects, examining underlying principles, tools, and practices in depth, from the art of prompt engineering to strategies for fine-tuning models to advanced techniques like retrieval-augmented generation (RAG) and agentic AI. Through real-world case studies and insights from top experts, you’ll learn how to harness AI’s full potential on Azure, paving the way for groundbreaking solutions and sustainable success in today’s AI-driven landscape.
Understand the technical foundations of generative AI and how the technology has evolved over the last few years
Implement advanced GenAI applications using services like Microsoft Foundry or Copilot, among others
Leverage patterns, tools, frameworks, and platforms to customize AI projects
Manage, govern, and secure your AI-enabled systems with responsible AI practices
Learn to avoid common pitfalls, future-proof your applications, and more
Preface ix
1. Technical Fundamentals of Generative AI Models and Applications 1
2. From Prototype to Production: AI on Azure 27
3. Model Selection and Prompt Engineering Best Practices 73
4. Retrieval-Augmented Generation 97
5. Fine-Tuning Generative AI Models in Azure 121
6. Agentic Systems 143
7. GenAIOps and LLMOps in Azure 169
8. Generative AI Governance Framework 201
9. Expert Interviews 241
A. AI Performance Metrics 263
B. Additional Resources and Reading Materials 267
Glossary 275
Index 289
Скриншоты:
Время раздачи: с 10 до 20 (минимум до появления первых 3-5 скачавших) 
