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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)
Item #: 90174974

Build a Large Language Model (From Scratch)

Item #: 90174974

PAB 72

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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

Custom Architecture
Design a tailored neural network architecture that suits specific applications and performance needs, ensuring optimal training outcomes.
Comprehensive Training Data
Utilize a diverse dataset for training, improving the model's understanding and performance across various languages and contexts.
Scalable Learning
Implement scalable learning techniques to efficiently increase model size and complexity while managing resources and time effectively.

Product Details

Country of OriginThis item will be imported from US
Item Weight2 lbs (910 grams)
What is in the boxBuild a Large Language... For more details, please check description/product details

Who Should Buy?

Suitable For
  • AI Enthusiasts

    Perfect for those eager to deepen their understanding of AI and machine learning by building models from ground up.

  • Developers

    Essential for programmers looking to expand their skills in natural language processing and model creation techniques.

  • Researchers

    Ideal for academic professionals aiming to conduct experiments and showcase their findings using custom-built language models.

Not Suitable For
  • Beginners

    Might overwhelm new learners without prior knowledge in AI, as it requires understanding complex concepts and coding.

Product Description

Build a Large Language Model (From Scratch)

Have any Query? Chat with us

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.

Expert Systems Editorial Review

**** The book "Build a Large Language Model From Scratch" has received an overwhelmingly positive reception from customers, particularly those with a background in machine learning or related fields. Many reviews highlight the book's structured approach to breaking down complex topics, making the intricate world of large language models (LLMs) accessible to readers without overwhelming them. Readers appreciate the step-by-step progression through the material, which allows them to incrementally build their understanding of LLMs and their underlying architectures. Specifically, the clarity in explaining concepts such as vanishing gradients and ReLU activations, coupled with practical examples and source code, has been noted as a strong point that enhances learning. The inclusion of an 80-page appendix further enriches the reader's experience by delving deeper into PyTorch and neural network principles. The book stands out for its commitment to practical learning, with many users praising its detailed, coherent explanations and the availability of working code samples that can be executed without hiccups. Many reviewers also appreciated the situation of code in relevant contexts—this integrated approach enables readers to visualize theoretical concepts alongside their practical applications, reinforcing their learning. Critics, however, have pointed out minor issues about needing a clean book for a more satisfying reading experience, which could be indicative of a desire for a digital option. Overall, this book is highly recommended for anyone looking to deepen their understanding of language models from the ground up, whether they are researchers or machine learning engineers looking to enhance their skills through hands-on experience. **

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Pros

  • Well-structured content that builds knowledge incrementally.
  • Detailed explanations of complex concepts, including practical applications.
  • Integration of working Python/PyTorch code that can be executed out of the box.
  • Clear and coherent writing style with accompanying flow diagrams.
  • Suitable as both a how-to guide and a reference book.

Cons

  • Some readers indicate the desire for a more pristine book condition for reading.

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