Large Language Models: A Deep Dive: Bridging Theory and Practice

Kamath, Uday

ISBN 10: 3031656466 ISBN 13: 9783031656460
Verlag: Springer, 2024
Gebraucht Hardcover

Verkäufer WeBuyBooks, Rossendale, LANCS, Vereinigtes Königreich Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

AbeBooks-Verkäufer seit 14. November 2005


Beschreibung

Beschreibung:

Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. Bestandsnummer des Verkäufers wbs4522627645

Diesen Artikel melden

Inhaltsangabe:

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 learning
  • Over 200 datasets compiled in one place, covering everything from pre- training to multimodal tuning, providing a robust foundation for diverse LLM applications
  • Over 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 deployment
  • Over 200 benchmarks covering LLM performance across various tasks, ethical considerations, multimodal applications, and more than 50 evaluation metrics for the LLM lifecycle
  • Nine 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 concepts
  • Over 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

Über die Autorin bzw. den Autor:

Uday Kamath has 25 years of experience in analytical development and a Ph.D. in scalable machine learning. His significant contributions span numerous journals, conferences, books, and patents. Notable books include Applied Causal Inference, Explainable Artificial Intelligence, Transformers for Machine Learning, Deep Learning for NLP and Speech RecognitionMastering Java Machine Learning, and Machine Learning: End-to-End Guide for Java Developers. Currently serving as the Chief Analytics Officer for Smarsh, his role encompasses spearheading data science and research in communication AI. He is also an active member of the Board of Advisors for entities, including commercial companies like Falkonry and academic institutions such as the Center for Human-Machine Partnership at GMU.

Kevin Keenan, Ph.D has more than 15 years of experience in the application of statistics, data analytics, and machine learning to real-world data across academia, cybersecurity, and financial services. Within these domains, he has specialized in the rigorous application of the scientific method, especially within scrappy commercial environments, where data quality and completeness are never ideal but from which immense value and insight can still be derived. With 8+ years of experience using NLP to surface human-mediated corporate, legal, and regulatory risk from communications and deep packet network traffic data, Kevin has successfully delivered machine learning applied to unstructured data at huge scales. He is the author of four published scientific papers in the academic field of Evolutionary Genetics, with over 1,400 citations, and is the author and maintainer of the open-source "diveRsity" project for population genetics research in the R statistical programming language.

Sarah Sorenson has spent over 15 years working in the software industry. She is a polyglot programmer, having done full-stack development in Python, Java, C#, and JavaScript at various times. She has spent the past ten years building machine learning capabilities and putting them into operation, primarily in the financial services domain. She has extensive experience in the application of machine learning to fraud detection and, most recently, has specialized in the development and deployment of NLP models for regulatory compliance on large-scale communications data at some of the world’s top banks.

Garrett Somers has been doing data-intensive research for over 10 years. Trained as an astrophysicist, he began his career studying X-ray emissions from distant black holes, before authoring his dissertation on numerical models of the evolving structure, spin, and magnetic fields of stars. He is the first author of eight peer-reviewed astrophysics articles totaling over 400 citations and the contributing author of an additional twenty-seven (over 4,000 citations in total). In 2019, he began a career in data science, specializing in applications of natural language processing to behavioral analysis in large communication corpora.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Bibliografische Details

Titel: Large Language Models: A Deep Dive: Bridging...
Verlag: Springer
Erscheinungsdatum: 2024
Einband: Hardcover
Zustand: Like New

Beste Suchergebnisse bei AbeBooks

Foto des Verkäufers

Kamath, Uday|Keenan, Kevin|Somers, Garrett|Sorenson, Sarah
ISBN 10: 3031656466 ISBN 13: 9783031656460
Neu Hardcover
Print-on-Demand

Anbieter: moluna, Greven, Deutschland

Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 . Bestandsnummer des Verkäufers 1702913640

Verkäufer kontaktieren

Neu kaufen

EUR 68,62
Währung umrechnen
Versand: EUR 48,99
Von Deutschland nach USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah
Verlag: Springer, 2024
ISBN 10: 3031656466 ISBN 13: 9783031656460
Gebraucht Hardcover

Anbieter: GreatBookPrices, Columbia, MD, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 48203643

Verkäufer kontaktieren

Gebraucht kaufen

EUR 74,16
Währung umrechnen
Versand: EUR 2,25
Innerhalb der USA
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah
Verlag: Springer, 2024
ISBN 10: 3031656466 ISBN 13: 9783031656460
Neu Hardcover

Anbieter: Best Price, Torrance, CA, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. SUPER FAST SHIPPING. Bestandsnummer des Verkäufers 9783031656460

Verkäufer kontaktieren

Neu kaufen

EUR 74,32
Währung umrechnen
Versand: EUR 7,65
Innerhalb der USA
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah
Verlag: Springer, 2024
ISBN 10: 3031656466 ISBN 13: 9783031656460
Neu Hardcover

Anbieter: GreatBookPrices, Columbia, MD, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers 48203643-n

Verkäufer kontaktieren

Neu kaufen

EUR 79,88
Währung umrechnen
Versand: EUR 2,25
Innerhalb der USA
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Foto des Verkäufers

Uday Kamath
ISBN 10: 3031656466 ISBN 13: 9783031656460
Neu Hardcover

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Buch. Zustand: 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. Bestandsnummer des Verkäufers 9783031656460

Verkäufer kontaktieren

Neu kaufen

EUR 80,24
Währung umrechnen
Versand: EUR 60,00
Von Deutschland nach USA
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Foto des Verkäufers

Uday Kamath
ISBN 10: 3031656466 ISBN 13: 9783031656460
Neu Hardcover

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Buch. Zustand: 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. Bestandsnummer des Verkäufers 9783031656460

Verkäufer kontaktieren

Neu kaufen

EUR 80,24
Währung umrechnen
Versand: EUR 65,72
Von Deutschland nach USA
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Foto des Verkäufers

Uday Kamath
ISBN 10: 3031656466 ISBN 13: 9783031656460
Neu Hardcover
Print-on-Demand

Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Buch. Zustand: 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. Bestandsnummer des Verkäufers 9783031656460

Verkäufer kontaktieren

Neu kaufen

EUR 80,24
Währung umrechnen
Versand: EUR 23,00
Von Deutschland nach USA
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah
Verlag: Springer, 2024
ISBN 10: 3031656466 ISBN 13: 9783031656460
Neu Hardcover

Anbieter: California Books, Miami, FL, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers I-9783031656460

Verkäufer kontaktieren

Neu kaufen

EUR 90,39
Währung umrechnen
Versand: Gratis
Innerhalb der USA
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah
Verlag: Springer, 2024
ISBN 10: 3031656466 ISBN 13: 9783031656460
Neu Hardcover

Anbieter: Books Puddle, New York, NY, USA

Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. 2024th edition NO-PA16APR2015-KAP. Bestandsnummer des Verkäufers 26401186160

Verkäufer kontaktieren

Neu kaufen

EUR 92,77
Währung umrechnen
Versand: EUR 3,40
Innerhalb der USA
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Kamath, Uday; Keenan, Kevin; Somers, Garrett; Sorenson, Sarah
Verlag: Springer, 2024
ISBN 10: 3031656466 ISBN 13: 9783031656460
Neu Hardcover

Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers 396239535

Verkäufer kontaktieren

Neu kaufen

EUR 95,61
Währung umrechnen
Versand: EUR 7,46
Von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer

Anzahl: 1 verfügbar

In den Warenkorb

Es gibt 3 weitere Exemplare dieses Buches

Alle Suchergebnisse ansehen