AI Engineering: Building Applications with Foundation Models
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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
Nº de artículo: 228958251

AI Engineering: Building Applications with Foundation Models

86% of respondents would recommend this to a friend

Nº de artículo: 228958251

NIO 2620

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Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications.
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What Stands Out

Foundation Model Integration
Leverage advanced foundation models to streamline application development, ensuring high-performance and scalability while reducing time-to-market for innovative solutions.
Hands-On Practicality
Engaging, hands-on approach allows users to build real-world applications, enhancing learning outcomes and equipping engineers with applicable skills for immediate impact.
Comprehensive Guidance
In-depth coverage of AI engineering principles and practices provides clarity and direction, helping professionals navigate the complexities of AI-driven application development.

Detalles de producto

Shop AI Engineering: Building Applications with Foundation Models online at a best price in Nicaragua. 1098166302
Publisher O'Reilly Media
Publication date January 7, 2025
Edition 1st
Language English
Print length 532 pages
ISBN-10 1098166302
ISBN-13 978-1098166304
Item Weight 2.05 pounds (930 grams)
Dimensions 6.9 x 1.1 x 9 inches (17.5 x 2.8 x 22.9 cm)

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to integrate advanced AI features into their applications using foundation models.

  • Software Developers

    Great for software developers who want to enhance their programming skills with artificial intelligence capabilities.

  • AI Enthusiasts

    Perfect for AI enthusiasts eager to learn about building applications that leverage the latest foundation models in AI.

Not Suitable For
  • Beginners Without Background

    Not suitable for absolute beginners in programming or AI who lack foundational knowledge.

DESCRIPCIÓN DEL PRODUCTO

AI Engineering: Building Applications with Foundation Models

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Machine Theory Editorial Review

**** The book *AI Engineering: Building Applications with Foundation Models* by Chip Huyen has garnered an overwhelmingly positive reception from customers, primarily for its clarity, depth, and accessibility. Reviewers highlight the expertly structured content, which begins with high-level AI concepts and gradually delves into more technical topics, catering to a broad audience, including both beginners and experienced developers. Readers appreciate that the book simplifies many complex aspects of AI, making them approachable and understandable. Customers who initially found the book's length daunting have expressed satisfaction, noting that it provides an equivalent educational experience to a graduate-level course. The author's background as an AI expert and educator at Stanford lends credence to the material, which is often praised for its thorough yet straightforward explanations free from excessive jargon. The audio version of the book has also received accolades for its accessibility, allowing readers to engage with the content during commutes, further enhancing its appeal. Notably, the book is seen as a valuable investment, illuminating the path for readers looking to deepen their understanding of AI and transition into AI engineering roles. Overall, *AI Engineering* is highly recommended as a foundational resource for both newcomers and those seeking to elevate their expertise in the evolving field of AI. **

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ventajas

  • Clear and insightful explanations of complex AI concepts.
  • Suitable for beginners and experienced developers alike.
  • Well-structured starting with high-level concepts before moving to technical details.
  • Accessible format, with positive feedback on the audiobook.
  • Encourages deeper learning and provides a strong foundation for AI engineering.
  • A valuable resource for those transitioning careers to AI.

Contras

  • Some sections may not address every reader's specific needs.

Product Price History

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características y beneficios

  • Learn the essentials of AI engineering and its distinction from traditional ML engineering.
  • Discover a framework for developing AI applications from simple to advanced techniques.
  • Explore model adaptation techniques like prompt engineering and fine-tuning.
  • Understand the bottlenecks related to latency and cost in serving foundation models.
  • Choose the right models, datasets, and evaluation metrics tailored to your needs.
  • Written by industry expert Chip Huyen, offering insights into practical AI application development.

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