AI Engineering: Building Applications with Foundation Models

ABSTRACT

As AI transitions from research labs to production environments, the focus has shifted from training models to building robust applications around them. Chip Huyen, a leading voice in ML systems, outlines the entirely new discipline of AI Engineering. This book covers the practical realities of working with foundation models, including dynamic prompting, retrieval-augmented generation (RAG) architectures, and deploying multi-agent workflows. It provides essential blueprints for evaluating model performance, managing latency, and handling unpredictable edge cases in production.