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ISBN13: | 9781032747224 |
ISBN10: | 1032747226 |
Kötéstípus: | Puhakötés |
Terjedelem: | 190 oldal |
Méret: | 246x174 mm |
Nyelv: | angol |
Illusztrációk: | 11 Illustrations, black & white; 3 Halftones, black & white; 8 Line drawings, black & white; 7 Tables, black & white |
700 |
Multilingual Artificial Intelligence
GBP 39.99
Kattintson ide a feliratkozáshoz
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.
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, 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.
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