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Build a Large Language Model (From Scratch)
ZAR 1348
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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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- 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 | 1 Nov. 2024 |
| Edition | 1st |
| Language | English |
| Print length | 368 pages |
| ISBN-10 | 1633437167 |
| ISBN-13 | 978-1633437166 |
| Item weight | 612 g |
| Dimensions | 18.73 x 1.78 x 23.5 cm |
Who Should Buy?
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AI Enthusiasts
This product is ideal for individuals keen on understanding and building language models from foundational principles.
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Students in AI
Perfect for students pursuing degrees related to AI who want practical experience in language model development.
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Industry Professionals
Structured for tech professionals wanting to deepen their knowledge in natural language processing and AI applications.
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Casual Learners
Individuals looking for light reading or general knowledge won’t find this technical guide engaging or suitable.
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Non-Technical Users
Users without a programming background may struggle with the complex concepts presented in the book.
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Time-Constrained Readers
Those short on time may find the extensive content overwhelming and hard to digest effectively.
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AI & Machine Learning Editorial Review
**** "Build a Large Language Model (From Scratch)" by Sebastian R. is receiving positive feedback from readers who appreciate its accessible writing style and foundational insights into large language models (LLMs). Many reviewers commend the book for breaking down complex AI concepts into understandable sections, making it suitable for individuals with little to no previous knowledge in the field. The structured approach enhances the reader's ability to grasp the intricacies of transformer architecture and the practicalities of training LLMs. The book stands out in its provision of hands-on examples, code snippets, and supplementary materials, including accompanying YouTube videos by the author. This additional content offers readers a deeper, more interactive learning experience. However, some reviewers caution that while the book effectively lays the groundwork for understanding LLMs, it may not cover the advanced implementation needed for real-world deployments. For those looking to take the next step, further reading may be necessary. Overall, "Build a Large Language Model from Scratch" is deemed an excellent resource for anyone curious about artificial intelligence, particularly LLMs, making it a highly recommended read for both novices and enthusiasts alike. **
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Pros
- Accessible and clear writing style for beginners in AI.
- Well-structured content that effectively teaches the fundamentals of LLMs.
- Provides practical examples and hands-on code snippets.
- Supplementary materials and videos enhance learning.
- Highly recommended for those interested in AI.
Cons
- May not cover advanced implementation needed for real-world LLM deployment.
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ZAR 1348
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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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