AI Engineering: Building Applications with Foundation Models
90% of respondents would recommend this to a friend
KGS 8630
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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
Информация о продукте
| Herausgeber | O'Reilly Media |
| Erscheinungstermin | 7. Januar 2025 |
| Sprache | Englisch |
| Seitenzahl der Print-Ausgabe | 532 Seiten |
| ISBN-10 | 1098166302 |
| ISBN-13 | 978-1098166304 |
| Abmessungen | 17.53 x 2.79 x 22.86 cm |
Who Should Buy?
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Developers and Engineers
Perfect for professionals looking to leverage foundation models to enhance application development and streamline workflows.
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AI Researchers
Ideal for researchers exploring advanced AI methodologies and seeking to incorporate foundation models into their projects.
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Tech Startups
Beneficial for startups aiming to integrate cutting-edge AI technologies into their products without extensive resources.
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Beginner Users
Not suitable for absolute beginners who lack background knowledge in AI and programming concepts.
ОПИСАНИЕ ТОВАРА
AI Engineering: Building Applications with Foundation Models
Вопросы и ответы клиентов
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вопрос:
Who is this book intended for?
отвечать: This book is for anyone interested in AI application development, regardless of their prior experience. -
вопрос:
What will I learn from this book?
отвечать: You'll learn about AI engineering, model adaptation techniques, and practical steps to build and deploy AI applications. -
вопрос:
Is prior knowledge of machine learning required?
отвечать: No, the book is designed for readers with minimal or no prior AI experience.
Englisch Ausgabe von Chip Huyen (Autor) Format: Taschenbuch Editorial Review
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KGS 8630
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Особенности и преимущества
- 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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