Multilingual Artificial Intelligence
Routledge (Verlag)
978-1-032-74724-8 (ISBN)
- Noch nicht erschienen (ca. April 2025)
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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.
Peng Wang is an IT analyst, as well as the chair of the Multilingual AI Track. She is co-author of Machine Learning in Translation. Samuel “Pete” Smith is Professor of Modern Languages at the University of Texas Arlington, where he also serves as Chief Analytics and Data Officer.
List of Tables
List of Figures
Preface
Part One
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
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
Chapter 8: Multilingual AI in Practice
Chapter 9: Multicultural AI
Chapter 10: Multilingual and Multicultural AI—Pedagogy, Proficiency, Policy, and Predictions
References
Index
| Erscheint lt. Verlag | 2.4.2025 |
|---|---|
| Zusatzinfo | 7 Tables, black and white; 8 Line drawings, black and white; 3 Halftones, black and white; 11 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 174 x 246 mm |
| Themenwelt | Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-032-74724-2 / 1032747242 |
| ISBN-13 | 978-1-032-74724-8 / 9781032747248 |
| Zustand | Neuware |
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