About the Book: Explains how foundation models are reshaping AI development and introduces a practical framework for building applications on top of them. Covers evaluation, prompt engineering, RAG, agents, finetuning, data quality, inference efficiency, and end-to-end architecture for scalable generative AI systems.

Why to Buy: Offers practical methods to build, refine, and deploy AI applications with confidence. Helps teams reduce errors, improve accuracy, lower cost and latency, and align AI capabilities with real product needs.

Author: Chip Huyen – AI engineer, educator, and author with experience at Snorkel AI, NVIDIA, and Stanford. Specializes in AI infrastructure and production-grade AI system design.​