The Hundred-Page Language Models Book: hands-on with PyTorch (The Hundred-Page Books)
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Master language models through mathematics, illustrations, and code—and build your own from scratch!
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Product Details
| Publisher | True Positive Inc. |
| Publication date | 15 Jan. 2025 |
| Language | English |
| Print length | 156 pages |
| ISBN-10 | 1778042724 |
| ISBN-13 | 978-1778042720 |
| Dimensions | 19.05 x 0.94 x 23.5 cm |
| Part of series | The Hundred-Page Books |
Who Should Buy?
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Aspiring Data Scientists
Provides practical insights and hands-on experience with language models and PyTorch for those starting their careers.
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Machine Learning Enthusiasts
Offers valuable resources and learning materials for individuals passionate about advancing their knowledge in language models.
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Students in AI
Serves as an excellent supplementary textbook for students pursuing courses in artificial intelligence and machine learning.
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Complete Beginners
Assumes prior knowledge of programming and machine learning concepts, making it challenging for absolute beginners.
Product Description
The Hundred-Page Language Models Book: hands-on with PyTorch (The Hundred-Page Books)
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English edition Andriy Burkov Format: Paperback Editorial Review
The Hundred-Page Language Models Book Hands-on With PyTorch is an essential read for anyone eager to delve into the world of language models. With a concise structure, the 156-page book is published by True Positive Inc. and offers a clear and practical approach to understanding complex concepts like neural networks and Transformer architectures. Readers have praised the author's ability to explain difficult topics in an intuitive way, making the material highly accessible even for beginners. This book is especially recommended for those who wish to deepen their knowledge of LLMs and learn how they work.
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Pros
- Clear explanations of complex language model concepts
- Well-structured and easy to follow
- Illustrations enhance understanding
- Concise length makes for a quick read
- Practical approach to AI and ML topics
Cons
- Might leave advanced users wanting more depth
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Features & Benefits
- Concise yet thorough exploration of language modeling fundamentals.
- Build and train three architectures of language models in Python.
- Understand and code a Transformer language model from scratch using PyTorch.
- Accessible coding examples to enhance practical implementation skills.
- Progressive learning approach, making complex concepts clear and understandable.
- Suitable for developers, data scientists, and machine learning engineers.
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