Multilingual Artificial Intelligence - Wang, Peng; Smith, Pete; - Prospero Internetes Könyváruház

Multilingual Artificial Intelligence
 
A termék adatai:

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
Témakör:

Multilingual Artificial Intelligence

 
Kiadás sorszáma: 1
Kiadó: Routledge
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  példányt

 
Rövid leírás:

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.

Hosszú leírás:

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.

Tartalomjegyzék:

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