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AI Engineering : Building Applications with Foundation Models by Chip Huyen...
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Numero oggetto eBay:335785385965
Specifiche dell'oggetto
- Condizione
- ISBN
- 9781098166304
Informazioni su questo prodotto
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1098166302
ISBN-13
9781098166304
eBay Product ID (ePID)
21070936994
Product Key Features
Number of Pages
532 Pages
Language
English
Publication Name
Ai Engineering : Building Applications with Foundation Models
Subject
Enterprise Applications / Business Intelligence Tools, Machine Theory, Intelligence (Ai) & Semantics
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
32.3 Oz
Item Length
9.1 in
Item Width
7.1 in
Additional Product Features
Publication Year
2025
Synopsis
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. Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the process for developing an AI application, the challenges at each step, and approaches to address them Explore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work Examine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them Choose the right model, dataset, evaluation benchmarks, and metrics for your needs Chip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI. AI Engineering builds upon and is complementary to Designing Machine Learning Systems (O'Reilly)., 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. Understand what AI engineering is and how it differs from traditional machine learning engineering Learn the process for developing an AI application, the challenges at each step, and approaches to address them Explore various model adaptation techniques, including prompt engineering, RAG, fine-tuning, agents, and dataset engineering, and understand how and why they work Examine the bottlenecks for latency and cost when serving foundation models and learn how to overcome them Choose the right model, dataset, evaluation benchmarks, and metrics for your needs Chip Huyen works to accelerate data analytics on GPUs at Voltron Data. Previously, she was with Snorkel AI and NVIDIA, founded an AI infrastructure startup, and taught Machine Learning Systems Design at Stanford. She's the author of the book Designing Machine Learning Systems, an Amazon bestseller in AI. AI Engineering builds upon and is complementary to Designing Machine Learning Systems (O'Reilly) .
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- p***a (14)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoThe arrive in perfect conditions. By mistake they sent a book that did not correspond to the package I bought, I contacted them and they sent me the correct one, within 24 hours the book that was missing in the package was already on its way. Incredible service.Ryan Holiday 5 books ego is the enemy Obstacle is the Way The Daily Stoic... (N° 335376594734)
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Bookshelf Treasures
97,6% di Feedback positivi•59 mila oggetti venduti
Registrato come venditore professionale
Feedback sul venditore (5.610)
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Tutti gli oggetti (5.610)
- b***o (422)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoAll fine
- b***h (1186)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoExcellent communication from the seller. The books were promptly shipped, so they happily arrived earlier than expected. They were very well packaged, which helped keep all of the books in perfect condition. The books are new, as described, and well priced. These were a gift, and the recipient is thrilled. I highly recommend this seller:)
- p***a (14)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoThe arrive in perfect conditions. By mistake they sent a book that did not correspond to the package I bought, I contacted them and they sent me the correct one, within 24 hours the book that was missing in the package was already on its way. Incredible service.Ryan Holiday 5 books ego is the enemy Obstacle is the Way The Daily Stoic... (N° 335376594734)
- j***- (12)- Feedback lasciato dall'acquirente.Ultimi 6 mesiAcquisto verificatoBook was exactly as described in seller's listing/description and was packaged very carefully. I did not communicate with seller at all after purchasing because I did not need to; had no problems with order and overall a very positive experience. I would recommend this seller to others.Diagnostic and Statistical Manual of Mental Disorders : DSM-5-TR HARDCOVER (N° 335246909323)