Large Model Development Fine Tuning (5 results)

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  • Language: Chinese

    Published by Tsinghua University Press, 2023

    7302647070 / 9787302647072

    • Softcover

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    Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

  • Language: English

    Published by Tsinghua University Press, 2023

    7302647070 / 9787302647072

    • Softcover

    Seller: liu xing, Nanjing, JS, Chinaliu xing

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    paperback. Condition: New. Paperback. Pub Date: 2023-11 Pages: 376 Publisher: Tsinghua University Press The big model is a jewel in the crown of deep learning natural language processing. and is also one of the most important directions in current AI and NLP research and industry. This book uses PyTorch2.0 as the basic framework for learning big models. and takes ChatGLM as an example to explain in detail the basic theory. algorithm. program implementation. application practice. and fine-tuning technology of big models.

  • Language: English

    Published by Tsinghua University Press, 2024

    7302658811 / 9787302658818

    • Softcover

    Seller: liu xing, Nanjing, JS, Chinaliu xing

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    paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2024-04 Pages: 274 Publisher: Tsinghua University Press As a companion book to Learning Deep Learning with PyTorch 2.0 from Scratch. this book focuses on local deployment. application development. and fine-tuning of large models. This book not only systematically explains the core theory of deep learning large models. but also focuses on practical applications. Through rich cases and scenarios. it guides readers from theory to practice. and truly understa.

  • Language: English

    Published by Machinery Industry Press, 2025

    7111784413 / 9787111784418

    • Softcover

    Seller: liu xing, Nanjing, JS, Chinaliu xing

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    paperback. Condition: New. Paperback. Pub Date: 2025-07 Pages: 292 Publisher: China Machine Press This book comprehensively explores the core technologies and implementations of large language models (often referred to as large models) in application development. The content covers the basic principles of large language models. fine-tuning and optimization techniques. complex project development processes. and efficient and practical engineering case studies. Through structured module design and detailed code analysis.

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    paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2025-03 Pages: 310 Publisher: Posts & Telecom Press Deeeek is a generative AI (Artificial Intelligence) large-scale model based on the Transformer architecture. It integrates technologies such as the MOE architecture. mixed-precision training. and distributed optimization. possessing powerful text generation. multimodal processing. and task customization capabilities. This book systematically introduces the core technologies of the open-source large-scale.