Condition: As New. Unread book in perfect condition.
Condition: As New. Unread book in perfect condition.
Condition: New.
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 14.86
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Add to basketCondition: New. In.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 14.89
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Add to basketCondition: New. In.
Paperback. Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Condition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 24.62
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Add to basketCondition: New. In.
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Print on Demand.
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Print on Demand.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
£ 14.69
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
£ 14.71
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Paperback. Condition: New.
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condition: New. Print on Demand.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
£ 24.89
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.