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9783031231896 - Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media di Paass, Gerhard; Giesselbach, Sven (23 risultati)
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media (Artificial Intelligence: Foundations, Theory, and Algorithms)
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Foundation Models for Natural Language Processing : Pre-trained Language Models Integrating Media
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Foundation Models for Natural Language Processing : Pre-trained Language Models Integrating Media
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Foundation Models for Natural Language Processing
Libro 12 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsLingua: Inglese
Editore: Springer International Publishing AG, CH, 2023
ISBN 10: 3031231899 ISBN 13: 9783031231896
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media (Artificial Intelligence: Foundations, Theory, and Algorithms)
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Foundation Models for Natural Language Processing : Pre-trained Language Models Integrating Media
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Foundation Models for Natural Language Processing : Pre-trained Language Models Integrating Media
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Foundation Models for Natural Language Processing
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Foundation Models for Natural Language Processing
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Foundation Models for Natural Language Processing
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Foundation Models for Natural Language Processing
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Foundation Models for Natural Language Processing
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media (Artificial Intelligence: Foundations, Theory, and Algorithms)
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Foundation Models for Natural Language Processing
Libro 12 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsLingua: Inglese
Editore: Springer, Berlin|Springer International Publishing|Bundesministerium für Bildung und Forschung|Springer, 2023
ISBN 10: 3031231899 ISBN 13: 9783031231896
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
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Aggiungi al carrelloHardcover. Condizione: Brand New. 454 pages. 9.25x6.10x1.18 inches. In Stock.
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Foundation Models for Natural Language Processing
Libro 12 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsLingua: Inglese
Editore: Springer International Publishing AG, CH, 2023
ISBN 10: 3031231899 ISBN 13: 9783031231896
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Foundation Models for Natural Language Processing : Pre-trained Language Models Integrating Media
Libro 12 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsLingua: Inglese
Editore: Springer International Publishing, 2023
ISBN 10: 3031231899 ISBN 13: 9783031231896
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models.After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.
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Foundation Models for Natural Language Processing (eng)
Libro 12 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsDa: Brook Bookstore On Demand, Napoli, NA, Italia
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Foundation Models for Natural Language Processing
Libro 12 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsLingua: Inglese
Editore: Springer International Publishing Mai 2023, 2023
ISBN 10: 3031231899 ISBN 13: 9783031231896
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models.After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI. 456 pp. Englisch.
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Foundation Models for Natural Language Processing
Libro 12 di 15: Artificial Intelligence: Foundations, Theory, and AlgorithmsLingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Mai 2023, 2023
ISBN 10: 3031231899 ISBN 13: 9783031231896
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models.After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 456 pp. Englisch.
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Foundation Models for Natural Language Processing | Pre-trained Language Models Integrating Media
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Aggiungi al carrelloBuch. Condizione: Neu. Foundation Models for Natural Language Processing | Pre-trained Language Models Integrating Media | Gerhard Paaß (u. a.) | Buch | xviii | Englisch | 2023 | Springer | EAN 9783031231896 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
