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Multilingual Artificial Intelligence by Peng Wang and Pete Smith (2025, Trade Paperback)
Rarewaves (619893)
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About this product
Product Identifiers
PublisherTaylor & Francis Group
ISBN-101032747226
ISBN-139781032747224
eBay Product ID (ePID)28072747953
Product Key Features
Number of Pages164 Pages
LanguageEnglish
Publication NameMultilingual Artificial Intelligence
SubjectNatural Language Processing, Linguistics / General
Publication Year2025
TypeTextbook
Subject AreaComputers, Language Arts & Disciplines
AuthorPeng Wang, Pete Smith
FormatTrade Paperback
Dimensions
Item Length9.7 in
Item Width6.9 in
Additional Product Features
Intended AudienceCollege Audience
Dewey Edition23
IllustratedYes
Dewey Decimal004
Table Of ContentList of Figures List of Tables Preface Part One: Fundamentals of multilingual artificial intelligence Chapter 1: Multilingual AI in a mathematical theory of communication Chapter 2: Data landscape for multilingual AI Chapter 3: Basic techniques to achieve artificial intelligence Chapter 4: Symbolic meaning and vector semantics Part Two: Large Language models: theories and applications Chapter 5: Multilingual large language models, fine-tuning, and prompt engineering Chapter 6: Multilingual and cross-lingual information retrieval Chapter 7: Augmenting LLM performance with human knowledge Part Three: Culture and multicultual AI Chapter 8: Multilingual AI in practice Chapter 9: Multicultural AI Chapter 10: Multilingual and multicultural AI--pedagogy, proficiency, policy, and predictions References Index
SynopsisMultilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data. Focusing on multilingual, multicultural, pre-trained large language models and their practical use through fine-tuning and prompt engineering, Wang and Smith demonstrate how to apply this new technology in areas such as information retrieval, semantic webs and retrieval augmented generation, to improve both human productivity and machine intelligence. Finally, it discusses the human impact of language technologies in the cultural context, and provides an AI competence framework for users to design their own learning journey. This innovative text is essential reading for all students, professionals and researchers in language, linguistics and related areas looking to understand how to integrate multilingual and multicultural artificial intelligence technology into their research., Multilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data. Focusing on multilingual, multicultural, pre-trained large language models and their practical use through fine-tuning and prompt engineering, Wang and Smith demonstrate how to apply this new technology in areas such as information retrieval, semantic webs, and retrieval augmented generation, to improve both human productivity and machine intelligence. Finally, they discuss the human impact of language technologies in the cultural context, and provide an AI competence framework for users to design their own learning journey. This innovative text is essential reading for all students, professionals, and researchers in language, linguistics, and related areas looking to understand how to integrate multilingual and multicultural artificial intelligence technology into their research and practice., Multilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data.
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