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Build a Large Language Model (From Scratch)
This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.
Build a Large Language Model (From Scratch)
商品#: 127561311

Build a Large Language Model (From Scratch)

商品#: 127561311

TWD 2299

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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
This book offers an in-depth, step-by-step approach to building a large language model from scratch, making complex concepts accessible for both beginners and professionals.
Practical Examples
Includes hands-on examples and coding exercises that enhance learning, enabling readers to directly apply concepts and solidify their understanding of language model development.
Expert Insights
Authored by industry experts, it provides insider knowledge and best practices that keep readers ahead in the rapidly evolving field of AI and machine learning.

產品詳情

Shop Build a Large Language Model (From Scratch) online at a best price in Taiwan. 1633437167
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?

Suitable For
  • AI Enthusiasts

    This product is ideal for individuals keen on understanding and building language models from foundational principles.

  • Students in AI

    Perfect for students pursuing degrees related to AI who want practical experience in language model development.

  • Industry Professionals

    Structured for tech professionals wanting to deepen their knowledge in natural language processing and AI applications.

Not Suitable For
  • Casual Learners

    Individuals looking for light reading or general knowledge won’t find this technical guide engaging or suitable.

產品描述

Build a Large Language Model (From Scratch)

有疑問? 和我們聊天

客戶問答

  • 問題: What prior knowledge do I need to get started?

    Answer: You need intermediate Python skills and some knowledge of machine learning.
  • 問題: 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.
  • 問題: Does the book provide any additional resources?

    Answer: Yes, purchasing the print book includes a free eBook in PDF and ePub formats.

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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優點

  • 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.

缺點

  • May not cover advanced implementation needed for real-world LLM deployment.

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