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Building Generative AI Services with FastAPI. A Practical Approach to Developing Context-Rich Generative AI Applications. 1st Edition (2025) [PDF, EPUB]

Alireza Parandeh
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Серия
Программирование (книга #345)
Издатель
Дата публикации
15.04.2025 00:00
Добавлена в библиотеку
17.05.2026 16:07
Последнее изменение
30.11.-0001 00:00
Форматы
EPUB (12609 KB), PDF (27255 KB)
Путь в библиотеке
Alireza Parandeh/Building Generative AI Services wi (12724)
UUID
5d1b2cf8-4a29-4eb7-9f34-20a0333ae5d6

Аннотация

Alireza Parandeh | Building Generative AI Services with FastAPI. A Practical Approach to Developing Context-Rich Generative AI Applications. 1st Edition (2025) [PDF, EPUB]

picАвтор: Alireza Parandeh

Издательство: O'Reilly Media

ISBN: 978-1098160302

Жанр: Web Services, Generative AI, Software Development

Язык: Английский

 

Формат: PDF, EPUB

Качество: Изначально электронное (ebook)

Иллюстрации: Цветные и черно-белые

 

Описание:

Ready to build production-grade applications with generative AI? This practical guide takes you through designing and deploying AI services using the FastAPI web framework. Learn how to integrate models that process text, images, audio, and video while seamlessly interacting with databases, filesystems, websites, and APIs. Whether you're a web developer, data scientist, or DevOps engineer, this book equips you with the tools to build scalable, real-time AI applications.

 

Author Alireza Parandeh provides clear explanations and hands-on examples covering authentication, concurrency, caching, and retrieval-augmented generation (RAG) with vector databases. You'll also explore best practices for testing AI outputs, optimizing performance, and securing microservices. With containerized deployment using Docker, you'll be ready to launch AI-powered applications confidently in the cloud.

 

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Дополнительная информация:

Build generative AI services that interact with databases, filesystems, websites, and APIs

 

Manage concurrency in AI workloads and handle long-running tasks

 

Stream AI-generated outputs in real time via WebSocket and server-sent events

 

Secure services with authentication, content filtering, throttling, and rate limiting

 

Optimize AI performance with caching, batch processing, and fine-tuning techniques

 

Visit the Book's Website.