AI Engineering: Building Applications with Foundation Models
Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications.
AI Engineering: Building Applications with Foundation Models
商品#: 180595515

AI Engineering: Building Applications with Foundation Models

商品#: 180595515

TWD 3624

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What Stands Out

Comprehensive Insights
Delivers in-depth knowledge on utilizing foundation models for AI applications, empowering engineers with practical strategies and theoretical understanding to innovate effectively.
Future-Ready Content
Addresses emerging trends and technologies in AI, ensuring readers stay ahead of industry developments and can leverage cutting-edge tools for competitive advantage.
Expert Contributions
Includes insights from leading AI researchers and practitioners, enhancing the credibility and richness of the content while providing real-world applications and case studies for readers.

產品詳情

Shop AI Engineering: Building Applications with Foundation Models online at a best price in Taiwan. 1098166302
PublishersO'Reilly Media
Date of publicationDecember 20, 2024
Prints1.
LanguageEnglish
Print Length528 pages
ISBN-101098166302
ISBN-13978-1098166304
Dimensions17.53 x 2.79 x 22.86 cm

Who Should Buy?

Suitable For
  • AI Enthusiasts

    Individuals eager to understand foundational models and their applications in various AI projects and scenarios.

  • Developers

    Software engineers looking to integrate foundation models into their applications or seeking to enhance their AI skills.

  • Researchers

    Academics and professionals conducting research on AI advancement, focusing on foundational model development and innovations.

Not Suitable For
  • Beginners

    Those with minimal knowledge of AI might struggle to grasp the complex concepts introduced in this paper.

產品描述

AI Engineering: Building Applications with Foundation Models

有疑問? 和我們聊天

客戶問答

  • 問題: Who is this book intended for?

    Answer: This book is for anyone interested in AI application development, regardless of their prior experience.
  • 問題: What will I learn from this book?

    Answer: You'll learn about AI engineering, model adaptation techniques, and practical steps to build and deploy AI applications.
  • 問題: Is prior knowledge of machine learning required?

    Answer: No, the book is designed for readers with minimal or no prior AI experience.

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優點

  • Comprehensive and insightful content
  • Easy to follow for beginners
  • Practical examples and applications
  • Up-to-date with latest trends

缺點

  • Some sections could be more detailed.

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