India, with its vast linguistic diversity of over 1,500 languages, is advancing digital transformation by creating multilingual AI models. These AI innovations allow more Indians to interact with technology in their native languages, promoting inclusivity. This reflects a growing trend in sovereign AI, where localized AI infrastructure is developed using regional datasets, addressing specific dialects and cultural nuances.
Multilingual AI models are helping businesses by enabling AI-driven customer service agents, quick content translation, and more accessible services. To support these efforts, NVIDIA has launched the Nemotron-4-Mini-Hindi-4B, a small AI language model for Hindi, now available through the NVIDIA NIM microservice. Tech Mahindra has adopted this model to create Indus 2.0, an AI platform catering to Hindi and its dialects, benefiting sectors like banking, healthcare, and education.
The Nemotron Hindi model has 4 billion parameters, pruned from the larger Nemotron-4 15B model, and is fine-tuned with both Hindi and English data. Developed using NVIDIA NeMo, this AI model is highly accurate, capable of supporting industries like retail, healthcare, and education. It’s part of the NVIDIA AI Enterprise platform, offering additional resources for businesses to streamline AI development.
Several Indian startups and major companies are using NVIDIA NeMo to create language models for various Indic languages. Sarvam AI has developed India’s first homegrown multilingual language model, Sarvam 1, supporting 10 major Indian languages. Meanwhile, Gnani.ai created a multilingual speech-to-speech model powering AI customer service assistants handling millions of real-time voice interactions.
Other enterprises like Flipkart, Krutrim, Zoho Corporation, Infosys, Tata Consultancy Services, and Wipro are leveraging NeMo to develop multilingual AI solutions for various industries. These efforts underscore the growing role of AI in making technology more accessible for India’s multilingual population.
