AI Engineering: Building Applications with Foundation Models
TWD 3624
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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
產品詳情
| Publishers | O'Reilly Media |
| Date of publication | December 20, 2024 |
| Prints | 1. |
| Language | English |
| Print Length | 528 pages |
| ISBN-10 | 1098166302 |
| ISBN-13 | 978-1098166304 |
| Dimensions | 17.53 x 2.79 x 22.86 cm |
Who Should Buy?
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AI Enthusiasts
Individuals eager to understand foundational models and their applications in various AI projects and scenarios.
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Developers
Software engineers looking to integrate foundation models into their applications or seeking to enhance their AI skills.
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Researchers
Academics and professionals conducting research on AI advancement, focusing on foundational model development and innovations.
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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
客戶問答
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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.
İngilizce Baskı Chip Huyen Format: Kağıt Kapak Editorial Review
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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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TWD 3624
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特色和優勢
- 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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