AI Engineering: Building Applications with Foundation Models
88% of respondents would recommend this to a friend
AZN 189
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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
Product Details
| Yayu0131nlanma Tarihi | 7 Ocak 2025 |
| Basku0131 | 1. |
| Dil | u0130ngilizce |
| Basku0131 Uzunluu011fu | 528 sayfa |
| ISBN-10 | 1098166302 |
| ISBN-13 | 978-1098166304 |
| Boyutlar | 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.
Product Description
AI Engineering: Building Applications with Foundation Models
Customer Questions & Answers
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Question:
Who is this book intended for?
Answer: This book is for anyone interested in AI application development, regardless of their prior experience. -
Question:
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. -
Question:
Is prior knowledge of machine learning required?
Answer: No, the book is designed for readers with minimal or no prior AI experience.
İngilizce Baskı Format: Kağıt Kapak Editorial Review
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AZN 189
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Features & Benefits
- 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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