From Local to Global: Crafting Effective i18n Frameworks for GenAI Products |
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| © 2025 by IJCTT Journal | ||
| Volume-73 Issue-1 |
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| Year of Publication : 2025 | ||
| Authors : Abhai Pratap Singh, Adit Jamdar | ||
| DOI : 10.14445/22312803/IJCTT-V73I1P112 | ||
How to Cite?
Abhai Pratap Singh, Adit Jamdar, "From Local to Global: Crafting Effective i18n Frameworks for GenAI Products," International Journal of Computer Trends and Technology, vol. 73, no. 1, pp. 98-105, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I1P112
Abstract
The paper discusses the critical role of i18n frameworks in developing and deploying GenAI products for global markets. As industries continue to be transformed by GenAI technologies, they need effective i18n strategies that make these innovations accessible and relevant across diverse linguistic and cultural contexts. The study investigates the status quo of i18n in GenAI applications and identifies challenges regarding the model’s accuracy across languages, cost implications for multilingual processing, and complexity in regulatory landscapes. It proposes an all-inclusive i18n strategy framework comprising data collection, AI model development, integration into existing workflows, quality assurance, and continuous improvement mechanisms. The paper also discusses technical implementation considerations for Scalable Multilingual AI models. Finally, this chapter explores future trends and research directions, including zero-shot and few-shot learning, integration with upcoming technologies, and where multilingual AI may rest concerning quantum computing. In turn, this will offer insight and strategies into successful i18n frameworks to help drive the use of GenAI products worldwide, fueling innovation and inclusivity within this rapidly changing artificial intelligence industry.
Keywords
Artificial Intelligence, Generative AI, Internationalization, Multilingual models, Regulatory compliance.
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