Nº de artículo:
180595515
AI Engineering: Building Applications with Foundation Models
87% of respondents would recommend this to a friend
Nº de artículo:
180595515
GTQ 945
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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.
Detalles de producto
| 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.
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AI Engineering: Building Applications with Foundation Models
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İngilizce Baskı Format: Kağıt Kapak Editorial Review
AI Engineering: Building Applications with Foundation Models is an essential read for anyone interested in the future of AI. Scheduled for publication on January 7, 2025, this comprehensive guide spans 528 pages and is presented in English. The book expertly covers fundamental concepts and practical applications, providing insightful perspectives essential for both budding and seasoned engineers. With a clear focus on modern methodologies, it encourages readers to explore and build with foundation models. This makes it a valuable resource in understanding the intricate dynamics of AI engineering.
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ventajas
- Comprehensive coverage of AI engineering concepts
- Well-structured for both beginners and experts
- Practical applications enhance learning experience
- In-depth analysis of foundation models
- Upcoming publication keeps content relevant
Contras
- Exploration of some advanced topics could be challenging
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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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