AI Engineering: Building Applications with Foundation Models
Chip Huyen
αα·αα»ααΆ 2025 Β· Gildan Media Β· ααα·ααΆαααα Edelyn Okano
3.0star
ααΆαααΆαααααα 1report
headphones
ααααα
βααΆβααα‘αα
21 αα· 12 α
αα·αβαααααα
family_home
ααΆααα·αααα·
info
reportααΆαααΆαααααα αα·αααα·ααΆαααααααα·αααααΌαααΆααααααααααΆαααα αααααααααααααα
α
ααααΆαααααΌ 2 αα· 7 α ααααα? ααααΆααααΆαβαααααααα αααααΈααΆααααΆαα’ααΈαααΊαα·αααααααΒ
αααααα
α’αααΈααααα βααΆααα‘ααααα
Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.
The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach.
AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications.
The book starts with an overview of AI engineering, explaining how it differs from traditional ML engineering and discussing the new AI stack. The more AI is used, the more opportunities there are for catastrophic failures, and therefore, the more important evaluation becomes. This book discusses different approaches to evaluating open-ended models, including the rapidly growing AI-as-a-judge approach.
AI application developers will discover how to navigate the AI landscape, including models, datasets, evaluation benchmarks, and the seemingly infinite number of use cases and application patterns. You'll learn a framework for developing an AI application, starting with simple techniques and progressing toward more sophisticated methods, and discover how to efficiently deploy these applications.
ααΆαααΆααααααΆα αα·αααα·ααΆαααααα
3.0
ααΆαααΆαααααα 1
ααΆααααααβααααα ααΆααα‘ααααα
ααααΆααααΎαα’αααΈααΆααααααΎαααααα’αααα
ααααααΆαα’αααΈααΆαααααΆαα
ααΌαααααααααΆααα αα·αβααααααα
ααα‘αΎααααααα·ααΈ Google Play Books αααααΆαα Android αα·α iPad/iPhone α ααΆβααααΎααααΆαααααβαααααααααααααααα·ααΆαα½αβααααΈβααααα’αααβ αα·αβα’αα»ααααΆαα±ααβα’αααα’αΆααααβααΆαα’ααΈαααΊαα·α α¬ααααΆαβα’ααΈαααΊαα·αβαα
αααααααΈααααααα
αα»αααααΌαααβαα½ααα αα·ααα»αααααΌααα
α’αααβα’αΆα
βα’αΆαβααααα
ββαααβααΆαβαα·αββαα
βαααβββαααααΆααα Google αααβααααΎβαααααα·ααΈβαα»αααββαααααΆαβαα»αααααΌαααβααααββα’αααα
