This book investigates how artificial intelligence, specifically large language models, can be applied to solve real-world problems involving multilingual and multicultural language data. The authors, Peng Wang and Pete Smith, draw on their expertise to guide non-computer science specialists and learners through the practical implementation of AI technologies. The text focuses on pre-trained models, fine-tuning, and prompt engineering, demonstrating their application in areas like information retrieval and retrieval augmented generation. It also addresses the human impact of language technologies within cultural contexts and offers a framework for users to design their own AI learning paths.

This text is positioned as an essential resource for students, professionals, and researchers in language, linguistics, and related fields. Its focus on practical application and accessible guidance for non-specialists suggests it aims to bridge the gap between AI technology and language-oriented disciplines. The inclusion of an AI competence framework indicates a pedagogical approach designed to empower readers to integrate these technologies into their work.