AI Engineering
Building Applications with Foundation Models
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Wypróbuj Audible Standard bezpłatnie przez 30 dni
Kup za 26,39 €
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Czyta:
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Edelyn Okano
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Autor:
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Chip Huyen
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 AudioFrom A to Z
Coś poszło nie tak. Spróbuj ponownie za kilka minut.
Not beginner-friendly and more as a reference work
Coś poszło nie tak. Spróbuj ponownie za kilka minut.
reader performance is awful,
Coś poszło nie tak. Spróbuj ponownie za kilka minut.
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
Coś poszło nie tak. Spróbuj ponownie za kilka minut.
Good entry for AI and models
Coś poszło nie tak. Spróbuj ponownie za kilka minut.