Verwandte Artikel zu Natural Language Analytics with Generative Large-Language...
Natural Language Analytics with Generative Large-Language Models: A Practical Approach with Ollama and Open-Source LLMs (SpringerBriefs in Computer Science) - Softcover
- VerlagSpringer-Verlag GmbH
- Erscheinungsdatum2025
- ISBN 10 303176630X
- ISBN 13 9783031766305
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten100
Neu kaufen
Diesen Artikel anzeigen
EUR 69,47
Gratis für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerSuchergebnisse für Natural Language Analytics with Generative Large-Language...
Beispielbild für diese ISBN
Natural Language Analytics with Generative Large-Language Models (Paperback)
Verlag:
Springer International Publishing AG, Cham, 2025
ISBN 10: 303176630X
ISBN 13: 9783031766305
Neu
Paperback
Anbieter: Grand Eagle Retail, Fairfield, OH, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. This book explores the application of generative Large Language Models (LLMs) for extracting and analyzing data from natural language artefacts. Unlike traditional uses of LLMs, such as translation and summarization, this book focuses on utilizing these models to convert unstructured text into data that can be processed through the data science pipeline to generate actionable insights.The content is designed for professionals in diverse fields including cognitive science, linguistics, management, and information systems. It combines insights from both industry and academia to provide a comprehensive understanding of how LLMs can be effectively used for natural language analytics (NLA). The book details practical methodologies for implementing LLMs locally using open-source tools, ensuring data privacy and feasibility without the need for expensive infrastructure.Key topics include interpretant, mindset and cultural analysis, emphasizing the use of LLMs to derive soft dataqualitative information crucial for nuanced decision-making. The text also outlines the technical aspects of LLMs, including their architecture, token embeddings, and the differences between encoder-based and decoder-based models. By providing a case study and practical examples, the authors show how LLMs can be used to meet various analytical needs, making this book a valuable resource for anyone looking to integrate advanced natural language processing techniques into their data analysis workflows. This book explores the application of generative Large Language Models (LLMs) for extracting and analyzing data from natural language artefacts. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783031766305
Anzahl: 1 verfügbar
Foto des Verkäufers
Natural Language Analytics with Generative Large-Language Models
Verlag:
Springer, Berlin, Springer Nature Switzerland, Springer, 2025
ISBN 10: 303176630X
ISBN 13: 9783031766305
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the application of generative Large Language Models (LLMs) for extracting and analyzing data from natural language artefacts. Unlike traditional uses of LLMs, such as translation and summarization, this book focuses on utilizing these models to convert unstructured text into data that can be processed through the data science pipeline to generate actionable insights.The content is designed for professionals in diverse fields including cognitive science, linguistics, management, and information systems. It combines insights from both industry and academia to provide a comprehensive understanding of how LLMs can be effectively used for natural language analytics (NLA). The book details practical methodologies for implementing LLMs locally using open-source tools, ensuring data privacy and feasibility without the need for expensive infrastructure.Key topics include interpretant, mindset and cultural analysis, emphasizing the use of LLMs to derive soft data-qualitative information crucial for nuanced decision-making. The text also outlines the technical aspects of LLMs, including their architecture, token embeddings, and the differences between encoder-based and decoder-based models. By providing a case study and practical examples, the authors show how LLMs can be used to meet various analytical needs, making this book a valuable resource for anyone looking to integrate advanced natural language processing techniques into their data analysis workflows. 84 pp. Englisch. Bestandsnummer des Verkäufers 9783031766305
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Natural Language Analytics with Generative Large-Language Models : A Practical Approach with Ollama and Open-Source LLMs
ISBN 10: 303176630X
ISBN 13: 9783031766305
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the application of generative Large Language Models (LLMs) for extracting and analyzing data from natural language artefacts. Unlike traditional uses of LLMs, such as translation and summarization, this book focuses on utilizing these models to convert unstructured text into data that can be processed through the data science pipeline to generate actionable insights.The content is designed for professionals in diverse fields including cognitive science, linguistics, management, and information systems. It combines insights from both industry and academia to provide a comprehensive understanding of how LLMs can be effectively used for natural language analytics (NLA). The book details practical methodologies for implementing LLMs locally using open-source tools, ensuring data privacy and feasibility without the need for expensive infrastructure.Key topics include interpretant, mindset and cultural analysis, emphasizing the use of LLMs to derive soft data-qualitative information crucial for nuanced decision-making. The text also outlines the technical aspects of LLMs, including their architecture, token embeddings, and the differences between encoder-based and decoder-based models. By providing a case study and practical examples, the authors show how LLMs can be used to meet various analytical needs, making this book a valuable resource for anyone looking to integrate advanced natural language processing techniques into their data analysis workflows. Bestandsnummer des Verkäufers 9783031766305
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Natural Language Analytics with Generative Large-Language Models: A Practical Approach with Ollama and Open-source LLMs
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 26403510328
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Natural Language Analytics With Generative Large-language Models: A Practical Approach With Ollama and Open-source Llms
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 97 pages. 9.25x6.10x9.28 inches. In Stock. Bestandsnummer des Verkäufers x-303176630X
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Natural Language Analytics with Generative Large-Language Models: A Practical Approach with Ollama and Open-source LLMs
Print-on-DemandAnbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 410692583
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Natural Language Analytics with Generative Large-Language Models: A Practical Approach with Ollama and Open-source LLMs
Print-on-DemandAnbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18403510322
Anzahl: 4 verfügbar
Foto des Verkäufers
Natural Language Analytics with Generative Large-Language Models
Print-on-DemandAnbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bestandsnummer des Verkäufers 1887555904
Anzahl: Mehr als 20 verfügbar