Search preferences
Skip to main search results

Search filters

Product Type

  • All Product Types 
  • Books (11)
  • Magazines & Periodicals (No further results match this refinement)
  • Comics (No further results match this refinement)
  • Sheet Music (No further results match this refinement)
  • Art, Prints & Posters (No further results match this refinement)
  • Photographs (No further results match this refinement)
  • Maps (No further results match this refinement)
  • Manuscripts & Paper Collectibles (No further results match this refinement)

Condition Learn more

  • New (10)
  • As New, Fine or Near Fine (1)
  • Very Good or Good (No further results match this refinement)
  • Fair or Poor (No further results match this refinement)
  • As Described (No further results match this refinement)

Binding

Collectible Attributes

Language (1)

Price

  • Any Price 
  • Under US$ 25 (No further results match this refinement)
  • US$ 25 to US$ 50 (No further results match this refinement)
  • Over US$ 50 
Custom price range (US$)

Seller Location

  • Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah

    Published by Springer, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: GreatBookPrices, Columbia, MD, U.S.A.

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

    Contact seller

    US$ 2.64 shipping within U.S.A.

    Destination, rates & speeds

    Quantity: 1 available

    Add to basket

    Condition: As New. Unread book in perfect condition.

  • Uday Kamath

    Published by Springer International Publishing AG, Cham, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

    Contact seller

    Free shipping within U.S.A.

    Destination, rates & speeds

    Quantity: 1 available

    Add to basket

    Hardcover. Condition: new. Hardcover. Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of artificial intelligence. LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. While fascinating, the complex workings of LLMstheir intricate architecture, underlying algorithms, and ethical considerationsrequire thorough exploration, creating a need for a comprehensive book on this subject.This book provides an authoritative exploration of the design, training, evolution, and application of LLMs. It begins with an overview of pre-trained language models and Transformer architectures, laying the groundwork for understanding prompt-based learning techniques. Next, it dives into methods for fine-tuning LLMs, integrating reinforcement learning for value alignment, and the convergence of LLMs with computer vision, robotics, and speech processing. The book strongly emphasizes practical applications, detailing real-world use cases such as conversational chatbots, retrieval-augmented generation (RAG), and code generation. These examples are carefully chosen to illustrate the diverse and impactful ways LLMs are being applied in various industries and scenarios.Readers will gain insights into operationalizing and deploying LLMs, from implementing modern tools and libraries to addressing challenges like bias and ethical implications. The book also introduces the cutting-edge realm of multimodal LLMs that can process audio, images, video, and robotic inputs. With hands-on tutorials for applying LLMs to natural language tasks, this thorough guide equips readers with both theoretical knowledge and practical skills for leveraging the full potential of large language models.This comprehensive resource is appropriate for a wide audience: students, researchers and academics in AI or NLP, practicing data scientists, and anyone looking to grasp the essence and intricacies of LLMs.Key Features:Over 100 techniques and state-of-the-art methods, including pre-training, prompt-based tuning, instruction tuning, parameter-efficient and compute-efficient fine-tuning, end-user prompt engineering, and building and optimizing Retrieval-Augmented Generation systems, along with strategies for aligning LLMs with human values using reinforcement learningOver 200 datasets compiled in one place, covering everything from pre- training to multimodal tuning, providing a robust foundation for diverse LLM applicationsOver 50 strategies to address key ethical issues such as hallucination, toxicity, bias, fairness, and privacy. Gain comprehensive methods for measuring, evaluating, and mitigating these challenges to ensure responsible LLM deploymentOver 200 benchmarks covering LLM performance across various tasks, ethical considerations, multimodal applications, and more than 50 evaluation metrics for the LLM lifecycleNine detailed tutorials that guide readers through pre-training, fine- tuning, alignment tuning, bias mitigation, multimodal training, and deploying large language models using tools and libraries compatible with Google Colab, ensuring practical application of theoretical conceptsOver 100 practical tips for data scientists and practitioners, offering implementation details, tricks, and tools to successfully navigate the LLM life- cycle and accomplish tasks efficiently Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah

    Published by Springer, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: GreatBookPrices, Columbia, MD, U.S.A.

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

    Contact seller

    US$ 2.64 shipping within U.S.A.

    Destination, rates & speeds

    Quantity: 1 available

    Add to basket

    Condition: New.

  • Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah

    Published by Springer, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: California Books, Miami, FL, U.S.A.

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

    Contact seller

    Free shipping within U.S.A.

    Destination, rates & speeds

    Quantity: Over 20 available

    Add to basket

    Condition: New.

  • Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah

    Published by Springer, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: Books Puddle, New York, NY, U.S.A.

    Seller rating 4 out of 5 stars 4-star rating, Learn more about seller ratings

    Contact seller

    US$ 3.99 shipping within U.S.A.

    Destination, rates & speeds

    Quantity: 1 available

    Add to basket

    Condition: New. 2024th edition NO-PA16APR2015-KAP.

  • Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah

    Published by Springer, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: Majestic Books, Hounslow, United Kingdom

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

    Contact seller

    US$ 8.67 shipping from United Kingdom to U.S.A.

    Destination, rates & speeds

    Quantity: 1 available

    Add to basket

    Condition: New.

  • Uday Kamath

    Published by Springer Nature Switzerland, Springer International Publishing Aug 2024, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

    Contact seller

    US$ 69.61 shipping from Germany to U.S.A.

    Destination, rates & speeds

    Quantity: 2 available

    Add to basket

    Buch. Condition: Neu. Neuware -Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of artificial intelligence. LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. While fascinating, the complex workings of LLMs¿their intricate architecture, underlying algorithms, and ethical considerations¿require thorough exploration, creating a need for a comprehensive book on this subject.This book provides an authoritative exploration of the design, training, evolution, and application of LLMs. It begins with an overview of pre-trained language models and Transformer architectures, laying the groundwork for understanding prompt-based learning techniques. Next, it dives into methods for fine-tuning LLMs, integrating reinforcement learning for value alignment, and the convergence of LLMs with computer vision, robotics, and speech processing. The book strongly emphasizes practical applications, detailing real-world use cases such as conversational chatbots, retrieval-augmented generation (RAG), and code generation. These examples are carefully chosen to illustrate the diverse and impactful ways LLMs are being applied in various industries and scenarios.Readers will gain insights into operationalizing and deploying LLMs, from implementing modern tools and libraries to addressing challenges like bias and ethical implications. The book also introduces the cutting-edge realm of multimodal LLMs that can process audio, images, video, and robotic inputs. With hands-on tutorials for applying LLMs to natural language tasks, this thorough guide equips readers with both theoretical knowledge and practical skills for leveraging the full potential of large language models.This comprehensive resource is appropriate for a wide audience: students, researchers and academics in AI or NLP, practicing data scientists, and anyone looking to grasp the essence and intricacies of LLMs.Key Features:Over 100 techniques and state-of-the-art methods, including pre-training, prompt-based tuning, instruction tuning, parameter-efficient and compute-efficient fine-tuning, end-user prompt engineering, and building and optimizing Retrieval-Augmented Generation systems, along with strategies for aligning LLMs with human values using reinforcement learningOver 200 datasets compiled in one place, covering everything from pre- training to multimodal tuning, providing a robust foundation for diverse LLM applicationsOver 50 strategies to address key ethical issues such as hallucination, toxicity, bias, fairness, and privacy. Gain comprehensive methods for measuring, evaluating, and mitigating these challenges to ensure responsible LLM deploymentOver 200 benchmarks covering LLM performance across various tasks, ethical considerations, multimodal applications, and more than 50 evaluation metrics for the LLM lifecycleNine detailed tutorials that guide readers through pre-training, fine- tuning, alignment tuning, bias mitigation, multimodal training, and deploying large language models using tools and libraries compatible with Google Colab, ensuring practical application of theoretical conceptsOver 100 practical tips for data scientists and practitioners, offering implementation details, tricks, and tools to successfully navigate the LLM life- cycle and accomplish tasks efficientlySpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 508 pp. Englisch.

  • Uday Kamath

    Published by Springer Nature Switzerland, Springer International Publishing, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: AHA-BUCH GmbH, Einbeck, Germany

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

    Contact seller

    US$ 76.25 shipping from Germany to U.S.A.

    Destination, rates & speeds

    Quantity: 1 available

    Add to basket

    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of artificial intelligence. LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. While fascinating, the complex workings of LLMs-their intricate architecture, underlying algorithms, and ethical considerations-require thorough exploration, creating a need for a comprehensive book on this subject.This book provides an authoritative exploration of the design, training, evolution, and application of LLMs. It begins with an overview of pre-trained language models and Transformer architectures, laying the groundwork for understanding prompt-based learning techniques. Next, it dives into methods for fine-tuning LLMs, integrating reinforcement learning for value alignment, and the convergence of LLMs with computer vision, robotics, and speech processing. The book strongly emphasizes practical applications, detailing real-world use cases such as conversational chatbots, retrieval-augmented generation (RAG), and code generation. These examples are carefully chosen to illustrate the diverse and impactful ways LLMs are being applied in various industries and scenarios.Readers will gain insights into operationalizing and deploying LLMs, from implementing modern tools and libraries to addressing challenges like bias and ethical implications. The book also introduces the cutting-edge realm of multimodal LLMs that can process audio, images, video, and robotic inputs. With hands-on tutorials for applying LLMs to natural language tasks, this thorough guide equips readers with both theoretical knowledge and practical skills for leveraging the full potential of large language models.This comprehensive resource is appropriate for a wide audience: students, researchers and academics in AI or NLP, practicing data scientists, and anyone looking to grasp the essence and intricacies of LLMs.Key Features:Over 100 techniques and state-of-the-art methods, including pre-training, prompt-based tuning, instruction tuning, parameter-efficient and compute-efficient fine-tuning, end-user prompt engineering, and building and optimizing Retrieval-Augmented Generation systems, along with strategies for aligning LLMs with human values using reinforcement learningOver 200 datasets compiled in one place, covering everything from pre- training to multimodal tuning, providing a robust foundation for diverse LLM applicationsOver 50 strategies to address key ethical issues such as hallucination, toxicity, bias, fairness, and privacy. Gain comprehensive methods for measuring, evaluating, and mitigating these challenges to ensure responsible LLM deploymentOver 200 benchmarks covering LLM performance across various tasks, ethical considerations, multimodal applications, and more than 50 evaluation metrics for the LLM lifecycleNine detailed tutorials that guide readers through pre-training, fine- tuning, alignment tuning, bias mitigation, multimodal training, and deploying large language models using tools and libraries compatible with Google Colab, ensuring practical application of theoretical conceptsOver 100 practical tips for data scientists and practitioners, offering implementation details, tricks, and tools to successfully navigate the LLM life- cycle and accomplish tasks efficiently.

  • Kamath, Uday/ Keenan, Kevin/ Somers, Garrett/ Sorenson, Sarah

    Published by Springer-Nature New York Inc, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: Revaluation Books, Exeter, United Kingdom

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

    Contact seller

    US$ 33.34 shipping from United Kingdom to U.S.A.

    Destination, rates & speeds

    Quantity: 2 available

    Add to basket

    Hardcover. Condition: Brand New. 400 pages. 9.25x6.10x10.00 inches. In Stock.

  • Uday Kamath

    Published by Springer Nature Switzerland, Springer Nature Switzerland Aug 2024, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

    Contact seller

    Print on Demand

    US$ 26.68 shipping from Germany to U.S.A.

    Destination, rates & speeds

    Quantity: 1 available

    Add to basket

    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of artificial intelligence. LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. While fascinating, the complex workings of LLMs-their intricate architecture, underlying algorithms, and ethical considerations-require thorough exploration, creating a need for a comprehensive book on this subject.This book provides an authoritative exploration of the design, training, evolution, and application of LLMs. It begins with an overview of pre-trained language models and Transformer architectures, laying the groundwork for understanding prompt-based learning techniques. Next, it dives into methods for fine-tuning LLMs, integrating reinforcement learning for value alignment, and the convergence of LLMs with computer vision, robotics, and speech processing. The book strongly emphasizes practical applications, detailing real-world use cases such as conversational chatbots, retrieval-augmented generation (RAG), and code generation. These examples are carefully chosen to illustrate the diverse and impactful ways LLMs are being applied in various industries and scenarios.Readers will gain insights into operationalizing and deploying LLMs, from implementing modern tools and libraries to addressing challenges like bias and ethical implications. The book also introduces the cutting-edge realm of multimodal LLMs that can process audio, images, video, and robotic inputs. With hands-on tutorials for applying LLMs to natural language tasks, this thorough guide equips readers with both theoretical knowledge and practical skills for leveraging the full potential of large language models.This comprehensive resource is appropriate for a wide audience: students, researchers and academics in AI or NLP, practicing data scientists, and anyone looking to grasp the essence and intricacies of LLMs.Key Features:Over 100 techniques and state-of-the-art methods, including pre-training, prompt-based tuning, instruction tuning, parameter-efficient and compute-efficient fine-tuning, end-user prompt engineering, and building and optimizing Retrieval-Augmented Generation systems, along with strategies for aligning LLMs with human values using reinforcement learningOver 200 datasets compiled in one place, covering everything from pre- training to multimodal tuning, providing a robust foundation for diverse LLM applicationsOver 50 strategies to address key ethical issues such as hallucination, toxicity, bias, fairness, and privacy. Gain comprehensive methods for measuring, evaluating, and mitigating these challenges to ensure responsible LLM deploymentOver 200 benchmarks covering LLM performance across various tasks, ethical considerations, multimodal applications, and more than 50 evaluation metrics for the LLM lifecycleNine detailed tutorials that guide readers through pre-training, fine- tuning, alignment tuning, bias mitigation, multimodal training, and deploying large language models using tools and libraries compatible with Google Colab, ensuring practical application of theoretical conceptsOver 100 practical tips for data scientists and practitioners, offering implementation details, tricks, and tools to successfully navigate the LLM life- cycle and accomplish tasks efficiently 508 pp. Englisch.

  • Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah

    Published by Springer, 2024

    ISBN 10: 3031656466 ISBN 13: 9783031656460

    Language: English

    Seller: Biblios, Frankfurt am main, HESSE, Germany

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

    Contact seller

    Print on Demand

    US$ 11.54 shipping from Germany to U.S.A.

    Destination, rates & speeds

    Quantity: 4 available

    Add to basket

    Condition: New. PRINT ON DEMAND.