AI Engineering: Building Applications with Foundation Models

AI Engineering: Master Foundation Models

AI Engineering by Chip Huyen is the ultimate, highly practical guide to building robust applications using readily available foundation models. In a rapidly evolving technological landscape, transitioning from traditional machine learning to modern AI development can be incredibly overwhelming. This essential physical book demystifies the entire process, providing application developers with a clear, step-by-step framework to harness the true power of AI. Whether you are an experienced software engineer or just beginning your journey into artificial intelligence, this comprehensive resource will equip you with the exact knowledge needed to design, evaluate, and deploy highly effective AI products.

Why You Need This Technical Book

Recent breakthroughs have transformed artificial intelligence from an esoteric, highly academic discipline into an accessible, powerful tool for everyday developers. However, utilizing these models in real-world production requires specialized skills. AI Engineering bridges the crucial gap between basic tutorials and enterprise-level deployment. Chip Huyen explains exactly how this new discipline differs from traditional ML engineering, helping you navigate the complex ecosystem of models, datasets, and evaluation benchmarks. By studying this expertly crafted physical read, you will learn to completely avoid catastrophic failures, optimize latency, and significantly reduce operational costs when scaling your applications.

What You Will Discover:

• A practical, end-to-end framework for developing reliable applications using modern foundation models.
• Expert techniques for model adaptation, including prompt engineering, retrieval-augmented generation (RAG), and parameter-efficient fine-tuning.
• Detailed strategies to effectively evaluate open-ended models and navigate the growing AI-as-a-judge approach.
• Proven methods to overcome the most common bottlenecks related to latency, scalability, and deployment costs.

About Chip Huyen:
Chip Huyen is a highly respected expert, educator, and leader in the artificial intelligence space. As a co-founder of an AI infrastructure startup and a former specialist at NVIDIA, Netflix, and Snorkel AI, she has helped the world’s largest organizations scale their machine learning systems. She also teaches Machine Learning Systems Design at Stanford University. Her previous bestseller, Designing Machine Learning Systems, established her as a defining voice in the industry, and her uniquely accessible teaching style makes complex technical concepts incredibly easy to understand.

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