Designing AI-Intensive Applications: Scalable Data Architectures for Machine Learning Pipelines, Vector Databases, and Real-Time AI Systems
Designing AI-Intensive Applications explores the architecture behind modern AI software. Marcus J. Ashford addresses scalable data architectures, machine learning pipelines, vector databases, and real-time AI systems, offering a focused introduction to the technologies and design considerations involved in building AI-intensive applications.
About This Book
Designing AI-Intensive Applications focuses on the architectural challenges of building applications centered on artificial intelligence.
The book covers scalable data architectures, machine learning pipelines, vector databases, and real-time AI systems.
It is intended for readers seeking a broad technical perspective on the systems and infrastructure that support modern AI applications.
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