Item #:
142530159
Build a Large Language Model (From Scratch)
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Item #:
142530159
AMD 29531
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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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What Stands Out
Comprehensive Guide
Offers a step-by-step approach to building large language models from scratch, ideal for developers and researchers alike looking to deepen their understanding of AI and machine learning.
Practical Examples
Includes numerous real-world examples that help readers apply theoretical concepts, facilitating hands-on learning and ensuring readers gain practical skills in model development.
Expert Insights
Written by industry experts, the book provides unique perspectives and advanced tips, making it a valuable resource for both beginners and practitioners aiming to enhance their knowledge of AI technology.
Product Details
- Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks. Build a Large Language Model (from Scratch) teaches you how to: Plan and code all the parts of an LLMPrepare a dataset suitable for LLM trainingFine-tune LLMs for text classification and with your own dataUse human feedback to ensure your LLM follows instructionsLoad pretrained weights into an LLM Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant. About the technology Physicist Richard P. Feynman reportedly said, “I don't understand anything I can't build.” Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.
| 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?
-
AI Enthusiasts
Individuals curious about artificial intelligence can learn from detailed insights and methodologies described in the book.
-
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.
Product Description
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Customer Questions & Answers
-
Question:
What prior knowledge do I need to get started?
Answer: You need intermediate Python skills and some knowledge of machine learning. -
Question:
Can I use this book on any laptop?
Answer: Yes, the LLM you create will run on any modern laptop and can optionally utilize GPUs. -
Question:
Does the book provide any additional resources?
Answer: Yes, purchasing the print book includes a free eBook in PDF and ePub formats.
English edition Sebastian Raschka Format: Paperback Editorial Review
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Features & Benefits
- 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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