Description
AI Engineering: Building Applications with Foundation Models by Chip Huyen is a modern, practical guide to building real-world AI products using tools like large language models (LLMs) and foundation models.
The book explains how AI has evolved from traditional machine learning to a more accessible “model-as-a-service” approach, where developers can build powerful applications without training models from scratch.
It covers the complete lifecycle of AI application development, including:
• Understanding the AI engineering stack and how it differs from ML engineering
• Working with foundation models like GPT-style systems
• Techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and AI agents
• Handling real-world challenges like evaluation, accuracy, latency, and cost optimization
The book also highlights the importance of testing and evaluating AI systems, as modern AI applications can fail in unpredictable ways if not properly monitored.
Overall, it’s not just theory—it’s a hands-on, practical framework to help developers, product managers, and startups build scalable AI-powered products.
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