Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Building DeepSeek AI Models: Architecture, Implementation, and Optimization

Building DeepSeek AI Models: Architecture, Implementation, and Optimization

Wang, X. Y.

Paperback

Series: Advanced Topics in Machine Learning, Book 7

General Computers

Currently unavailable to order

ISBN13: 9798313438481
Publisher: Independently Published
Published: Mar 8 2025
Pages: 224
Weight: 0.67
Height: 0.47 Width: 6.00 Depth: 9.00
Language: English
This book offers an in-depth exploration of the design, implementation, and optimization of DeepSeek AI models, blending theoretical rigor with advanced engineering insights. It unravels the complexities of cutting-edge deep learning techniques-including transformer architectures, Mixture-of-Experts, and reinforcement learning fine-tuning-equipping researchers and engineers with the expertise to build, scale, and deploy large language models with precision and efficiency.

With a strong focus on algorithmic advancements and hardware optimizations, this guide addresses the pressing challenges of training ultra-large models, ensuring efficiency, scalability, and reliability. Rich with practical blueprints and real-world case studies, it showcases applications from code intelligence to multi-step reasoning, offering a comprehensive roadmap for AI practitioners.

By integrating discussions on data preprocessing, distributed training, and custom GPU optimization libraries, this book serves as an indispensable resource for those pushing the boundaries of open-source AI research-fostering innovation, collaboration, and the future of large-scale deep learning.

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