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87925971
大規模言語モデル入門
87% of respondents would recommend this to a friend
Item #:
87925971
NIO 1250
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This book is an introductory book that explains both the theory and implementation of large-scale language models.
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What Stands Out
Comprehensive Coverage
Offers an in-depth exploration of large-scale language models, making complex concepts accessible for readers at all levels, from beginners to advanced practitioners.
Latest Insights
Published in July 2023, this book includes the most recent advancements and trends in AI, ensuring readers stay updated with cutting-edge developments in the field.
User-Friendly Format
The tankobon softcover format provides a convenient and durable reading experience, ideal for both academic study and casual reading, enhancing portability and usability.
Product Details
| Publisher | u6280u8853u8a55u8ad6u793e |
| Publication date | July 29, 2023 |
| Language | Japanese |
| Print length | 336 pages |
| ISBN-10 | 4297136333 |
| ISBN-13 | 978-4297136338 |
| Item Weight | 1 g |
| Dimensions | 9.06 x 7.17 x 0.63 inches (23 x 18.2 x 1.6 cm) |
Who Should Buy?
-
AI Researchers
Ideal for researchers exploring advanced language models, providing insights into architecture, training, and applications.
-
Students in AI
Beneficial for students of artificial intelligence who need foundational knowledge of language models for coursework and projects.
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Industry Professionals
Useful for professionals in tech fields looking to implement language models to enhance their products or services.
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Casual Readers
Not suitable for casual readers seeking light content, as it covers complex technical aspects of language models.
Product Description
大規模言語モデル入門
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山田 育矢 (Consultant Editor), 鈴木 正敏 Theoretical Computer Science Editorial Review
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NIO 1250
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Features & Benefits
- Comprehensive guide to large-scale language models and their applications.
- Explains the theory behind natural language processing and neural networks.
- Utilizes Hugging Face's Python library for practical learning.
- Covers multilingual datasets, making it accessible for diverse users.
- Ideal for engineers, students, and researchers in tech fields.
- Offers insights on handling real-world language processing challenges.
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