Build a Large Language Model (From Scratch)
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UYU 3278
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This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.
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Detalles de producto
| Publisher | Manning Publications |
| Publication date | 29 Oct. 2024 |
| Edition | 1st |
| Language | English |
| Print length | 368 pages |
| ISBN-10 | 1633437167 |
| ISBN-13 | 978-1633437166 |
| Dimensions | 18.73 x 1.78 x 23.5 cm |
Who Should Buy?
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AI Enthusiasts
Individuals curious about artificial intelligence can learn from detailed insights and methodologies described in the book.
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Developers & Data Scientists
Professionals looking to implement and customize language models in their projects will find practical guidance invaluable.
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Students & Researchers
Academics wanting a thorough understanding of language models will benefit from comprehensive theories and hands-on approaches.
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Casual Readers
Those uninterested in technical details may find the content too complex and dense to engage with effectively.
DESCRIPCIÓN DEL PRODUCTO
Build a Large Language Model (From Scratch)
Preguntas y respuestas de los clientes
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Pregunta:
What prior knowledge do I need to get started?
Respuesta: You need intermediate Python skills and some knowledge of machine learning. -
Pregunta:
Can I use this book on any laptop?
Respuesta: Yes, the LLM you create will run on any modern laptop and can optionally utilize GPUs. -
Pregunta:
Does the book provide any additional resources?
Respuesta: Yes, purchasing the print book includes a free eBook in PDF and ePub formats.
English edition Sebastian Raschka Format: Paperback Editorial Review
Build A Large Language Model (From Scratch) is a comprehensive guide to understanding the intricacies of AI and large language models (LLMs). The book, published by Manning Publications, is structured to suit readers with a basic grasp of neural networks and relevant mathematics, making it accessible yet informative. Reviewers commend its clear explanations and practical examples using PyTorch, including fine-tuning techniques like LoRA. It offers extra resources, including instructional videos and additional materials on GitHub, enhancing the learning experience. However, some find certain chapters challenging, though the appendix provides further clarification, ensuring readers can catch up if needed.
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ventajas
- Clear explanations of LLM components and workings
- Practical examples using PyTorch provided
- Covers fine-tuning techniques like LoRA
- Includes additional resources and videos
- Accessible for those with basic neural network knowledge
Contras
- Some concepts may be challenging for newcomers
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UYU 3278
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características y beneficios
- Learn to build large language models (LLMs) from scratch.
- Step-by-step guidance from renowned author Sebastian Raschka.
- Hands-on approach covering planning, coding, training, and fine-tuning.
- Develop your own LLM that runs on an ordinary laptop.
- Includes a free eBook with the print purchase for easy access.
- Gain a deep understanding of LLMs and their customization methods.
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