UNLOCKING THE POWER OF LANGUAGE: IMPROVING MULTILINGUAL CAPABILITIES IN GENERATIVE AI FOR GLOBAL ACCESSIBILITY

Authors

  • Lalith Kumar Maddali BrightEdge, USA. Author

Keywords:

Multilingual AI, Language Support, Cultural Sensitivity, Cross-Lingual Communication, Global Accessibility

Abstract

Generative AI has emerged as a transformative technology with the potential to revolutionize global communication and accessibility. However, the current state of language support in generative AI applications presents both opportunities and challenges. This article provides a comprehensive overview of the multilingual capabilities of generative AI models, discussing the strategies for improving language support, and exploring the impact of these advancements on global accessibility and communication. We highlight the importance of fine-tuning models for specific languages, incorporating diverse and representative datasets, and addressing cultural sensitivity and localization. The article also examines the potential of improved language support to break down language barriers, democratize access to AI-powered tools and services, and foster cross-cultural understanding and collaboration. Furthermore, we discuss the emerging trends in multilingual AI research, identify remaining gaps and areas for improvement, and consider the ethical implications and potential risks associated with the development and deployment of these technologies. The significance and implications of improved language support in generative AI are emphasized, underlining the need for ongoing research and collaboration to ensure the responsible and inclusive development of these systems. By harnessing the power of generative AI to promote multilingual accessibility and cultural sensitivity, we can work towards a more connected, equitable, and cooperative global society.

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Published

2024-05-31

How to Cite

Lalith Kumar Maddali. (2024). UNLOCKING THE POWER OF LANGUAGE: IMPROVING MULTILINGUAL CAPABILITIES IN GENERATIVE AI FOR GLOBAL ACCESSIBILITY. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY (IJARET), 15(3), 221-231. https://lib-index.com/index.php/IJARET/article/view/IJARET_15_03_019