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AI Engineering

Building Applications with Foundation Models

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AI Engineering

By: Chip Huyen
Narrated by: Edelyn Okano
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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.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2025 Developer Experience Advisory LLC (P)2025 Ascent Audio
Computer Science
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Great book which covers a wide range of important topics in AI Engineering, though the narration feels somewhat robotic.

From A to Z

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The book is very theoretical. The information is relevant in certain situations, but rarely at the beginning. Accordingly, I would not recommend it as a beginner's guide.

Not beginner-friendly and more as a reference work

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can't listen to the reader more than 10mins straight. feels like a very cheap TTS AI model

reader performance is awful,

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The topic of AI Engineering is extremely relevant, and this book does a great job of covering all relevant aspects of this emerging field. It is the best one on this topic that I know of.

However, I can hardly listen to it for more than 20 minutes at a time, as it has the most monotonous speaker I have ever heard. There are also multiple errors that show a lack of quality control, like calling an autoregressive language model a „casual“ model instead of a causal model. Ironically, any current generation text-to-speech AI model would likely have done a better job.

I would still recommend it for the content though.

Great content, but irritating speaker

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Please stop reading table data in an audiobook , it’s annoying af … all in all a good book

Good entry for AI and models

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