Rajadhyax D. - Building Generative AI for Enterprise [2026, PDF/EPUB, ENG]

Страницы:  1
Ответить
 

Osco do Casco

VIP (Заслуженный)

Стаж: 17 лет

Сообщений: 14318

Osco do Casco · 18-Июл-26 23:48 (2 дня 9 часов назад, ред. 19-Июл-26 20:21)

Building Generative AI for Enterprise
Год издания: 2026
Автор: Rajadhyax D.
Издательство: BPB Publications
ISBN: 978-93-78541-353
Язык: Английский
Формат: PDF (conv) /EPUB
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 466
Описание: Generative AI is transforming the corporate world, and understanding its core architecture is now essential for every tech professional. This book serves as a complete roadmap, guiding you from the theoretical foundations of transformer models to the successful deployment of production-ready AI systems.
This book systematically covers the AI lifecycle, moving from transformer foundations and SOTA models like GPT-4o to advanced prompt engineering and fine-tuning with LoRA on Google Colab. You will progress through building RAG systems and Knowledge Graphs with LangChain, eventually developing autonomous agents using ReAct and LlamaIndex. Finally, the book details deploying scalable systems via FastAPI and Kubernetes while ensuring security through AI governance and Microsoft’s Responsible AI Toolbox.
By the end of this book, you will have built real-world projects in healthcare and finance. This book equips practitioners with the skills and confidence needed to build, deploy, and enhance Generative AI systems that are enterprise-ready and future-proof.
What you will learn:
- Build end-to-end generative AI systems for enterprises.
- Apply practical approaches to real-world AI projects.
- Develop a strong understanding of AI models.
- Master in-demand skills like advanced prompt engineering.
- Implement retrieval-augmented generation for business data.
- Solve concrete business problems using AI techniques.
Примеры страниц (скриншоты)
Оглавление
1. Introduction to Transformer Models
2. The SOTA GenAI Models
3. GenAI in Industry
4. Prompt Engineering
5. Fine-tuning Generative Models
6. Enhancing GenAI with RAG
7. Advanced RAG in Action
8. Agentic Workflows
9. Deploying GenAI Systems
10. AI Governance and Ethics
11. Future of Generative AI
Index
Download
Сайт не распространяет и не хранит электронные версии произведений, а лишь предоставляет доступ к создаваемому пользователями каталогу ссылок на торрент-файлы, которые содержат только списки хеш-сумм
Как скачивать? (для скачивания .torrent файлов необходима регистрация)
[Профиль]  [ЛС] 
 
Ответить
Loading...
Error