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商品描述
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.
商品描述(中文翻譯)
《多語言人工智慧》是一本為非計算機科學專家和學習者提供的指南，旨在探索如何實施人工智慧技術以解決涉及語言數據的現實問題。
本書專注於多語言、多文化的預訓練大型語言模型及其通過微調和提示工程的實際應用，王和史密斯展示了如何將這項新技術應用於信息檢索、語義網和檢索增強生成等領域，以提高人類生產力和機器智能。最後，他們討論了語言技術在文化背景下對人類的影響，並提供了一個人工智慧能力框架，幫助用戶設計自己的學習旅程。
這本創新的著作是所有語言、語言學及相關領域的學生、專業人士和研究人員必讀的書籍，旨在幫助他們理解如何將多語言和多文化的人工智慧技術整合到他們的研究和實踐中。
作者簡介
Peng Wang is an IT analyst and the chair of the Multilingual AI Track. She is the co-author of Machine Learning in Translation.
Pete Smith is Professor of Modern Languages at the University of Texas Arlington, where he also serves as Chief Analytics and Data Officer.
作者簡介(中文翻譯)
彭汪是一位IT分析師，也是多語言人工智慧專題的主席。她是翻譯中的機器學習的共同作者。
彼得·史密斯是德克薩斯大學阿靈頓分校的現代語言教授，同時擔任首席分析與數據官。
