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About the Author

Chip Huyen

Category Science & Technology
Cover Type Paperback
Type Non Fiction
Reading Level Introductory
Language English

ISBN 9789355426666

Rs. 4,000

O'Reilly Media

Written by

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Chip Huyen

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AI Engineering

AI Engineering

By Chip Huyen · Published by O'Reilly Media

Who it's for: Developers and engineers building AI applications

AI Engineering by Chip Huyen offers a practical guide to constructing AI-powered applications using foundation models. This book provides a structured methodology for integrating pre-trained AI models into real-world products, covering essential concepts from model selection and data processing to deployment strategies and ethical considerations. It focuses on hands-on implementation, enabling readers to navigate the AI landscape and build scalable, efficient AI-driven applications without requiring extensive data or deep model training expertise.Why You Should Read? Master a structured framework for integrating foundation models into AI applications. Gain insights into practical use cases, such as chatbots and recommendation systems. Understand effective evaluation methods to ensure robust AI model performance. Learn to navigate ethical considerations in AI development and deployment.

Highlights

  • Structured methodology for integrating pre-trained models into products
  • Covers model selection, data processing, and deployment strategies
  • Focuses on hands-on implementation without deep training expertise
  • Includes practical use cases like chatbots and recommendation systems
  • Addresses evaluation methods and ethical considerations

Themes

Artificial intelligence · Foundation models · Software engineering · Ethics

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Specifications

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Author Chip Huyen
Publisher O'Reilly Media
ISBN 9789355426666
Cover Type Paperback
Type Non Fiction
Reading Level Introductory
Language English
Authenticity 100% Authentic Edition
SKU 2010000041253

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Questions about this book

What is the main focus of this book?

The book focuses on practical guidance for building AI-powered applications using foundation models, covering the entire process from model selection to deployment.

Do I need deep expertise in AI to benefit from this book?

No, the book is designed for readers who want to build AI applications without requiring extensive data or deep model training expertise.

What topics are covered?

It covers model selection, data processing, deployment strategies, evaluation methods, and ethical considerations, with practical use cases like chatbots and recommendation systems.

Is this book suitable for beginners?

Yes, it provides a structured methodology and hands-on implementation focus, making it accessible for those new to building AI applications.