AI ENGINEERING: BUILDING APPLICATIONS WITH FOUNDATION MODELS BY Chip Huyen

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AI Engineering: Building Applications with Foundation Models by Chip Huyen (Engl

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By Chip Huyen. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models. 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.

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AI Engineering: Building Applications with Foundation Models Paperback

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"AI Engineering: Building Applications with Foundation Models" is a comprehensive textbook authored by Chip Huyen, focusing on building applications with AI technology. The book covers topics such as Enterprise Applications, Business Intelligence Tools, Machine Theory, and Natural Language Processing. Published by O'Reilly Media, this trade paperback is designed for computer engineering students and professionals looking to deepen their understanding of AI technologies. With a publication year of 2025, this textbook offers valuable insights and practical guidance for those interested in the field of artificial intelligence.

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AI Engineering: Building Applications w…, Huyen, Chip

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Author:Huyen, Chip. 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. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications.

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AI Engineering: Building Applications with Foundation Models PB USA STOCK

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AI Engineering: Building Applications with Foundation Models PB USA STOCK is a textbook published by O'Reilly Media, Inc. authored by Chip Huyen. This trade paperback book, measuring 9.1 inches in length, 7.1 inches in width, and 1.1 inches in height, is focused on the subject areas of Enterprise Applications, Business Intelligence Tools, Machine Theory, Natural Language Processing, and Computer Engineering. It is written in English and has a publication year of 2024, making it a valuable resource for those interested in learning about AI engineering and its applications.

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