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9780443335921 - Challenges and Applications of Generative Large Language Models (14 results)
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Challenges and Applications of Generative Large Language Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Challenges and Applications of Generative Large Language Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 187.84
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Condition: New. Provides a clear and objective description of LLMs, with their strengths and weaknessesDemonstrates current applications of LLMs, along with strengths and known issues in each applicationCovers not only the advantages but also risk.
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Paperback. Condition: Brand New. 250 pages. 9.25x7.50x9.25 inches. In Stock.
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Challenges and Applications of Generative Large Language Models
Language: English
Published by Elsevier Science & Technology Jan 2026, 2026
ISBN 10: 0443335923 ISBN 13: 9780443335921
Taschenbuch. Condition: Neu. Neuware - Large Language Models (LLMs) are a form of generative AI, based on Deep Learning, that rely on very large textual datasets, and are composed of hundreds of millions (or even billions) of parameters. LLMs can be trained and then refined to perform several NLP tasks like generation of text, summarization, translation, prediction, and more. Challenges and Applications of Generative Large Language Models assists readers in understanding LLMs, their applications in various sectors, challenges that need to be encountered while developing them, open issues, and ethical concerns. LLMs are just one approach in the huge set of methodologies provided by AI. The book, describing strengths and weaknesses of such models, enables researchers and software developers to decide whether an LLM is the right choice for the problem they are trying to solve. AI is the new buzzword, in particular Generative AI for human language (LLMs). As such, an overwhelming amount of hype is obfuscating and giving a distorted view about AI in general, and LLMs in particular. Thus, trying to provide an objective description of LLMs is useful to any person (researcher, professional, student) who is starting to work with human language. The risk, otherwise, is to forget the whole set of methodologies developed by AI in the last decades, sticking with only one model which, although very powerful, has known weaknesses and risks. Given the high level of hype around such models, Challenges and Applications of Generative Large Language Models (LLMs) enables readers to clarify and understand their scope and limitations.
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Condition: new. Questo è un articolo print on demand.
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Challenges and Applications of Generative Large Language Models (Paperback)
Language: English
Published by Elsevier Science & Technology, San Francisco, 2026
ISBN 10: 0443335923 ISBN 13: 9780443335921
Paperback. Condition: new. Paperback. Challenges and Applications of Generative Large Language Models This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Condition: Brand New. 250 pages. 9.25x7.50x9.25 inches. In Stock. This item is printed on demand.
-
Challenges and Applications of Generative Large Language Models (Paperback)
Language: English
Published by Elsevier Science & Technology, San Francisco, 2026
ISBN 10: 0443335923 ISBN 13: 9780443335921
Paperback. Condition: new. Paperback. Large Language Models (LLMs) are a form of generative AI, based on Deep Learning, that rely on very large textual datasets, and are composed of hundreds of millions (or even billions) of parameters. LLMs can be trained and then refined to perform several NLP tasks like generation of text, summarization, translation, prediction, and more. Challenges and Applications of Generative Large Language Models assists readers in understanding LLMs, their applications in various sectors, challenges that need to be encountered while developing them, open issues, and ethical concerns. LLMs are just one approach in the huge set of methodologies provided by AI. The book, describing strengths and weaknesses of such models, enables researchers and software developers to decide whether an LLM is the right choice for the problem they are trying to solve. AI is the new buzzword, in particular Generative AI for human language (LLMs). As such, an overwhelming amount of hype is obfuscating and giving a distorted view about AI in general, and LLMs in particular. Thus, trying to provide an objective description of LLMs is useful to any person (researcher, professional, student) who is starting to work with human language. The risk, otherwise, is to forget the whole set of methodologies developed by AI in the last decades, sticking with only one model which, although very powerful, has known weaknesses and risks. Given the high level of hype around such models, Challenges and Applications of Generative Large Language Models (LLMs) enables readers to clarify and understand their scope and limitations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
