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NVIDIA Revolutionizes AI for India's Multilingual Population


India, a country with 22 constitutionally recognized languages, is harnessing the power of Artificial Intelligence (AI) to cater to its diverse audience. Leveraging NVIDIA's NeMo framework, Indian enterprises and startups are developing cutting-edge language models that can process multiple languages. With this initiative, NVIDIA is revolutionizing AI for India's multilingual population, enabling businesses to build customized language models that resonate with the country's linguistic diversity.

  • NVIDIA is empowering Indian enterprises and startups with its NeMo framework to develop cutting-edge language models catering to India's linguistic diversity.
  • Initiatives like TeNo, Sarvam 1, and Gnani.ai are developing multilingual LLMs using NVIDIA technology.
  • The availability of small language models like Nemotron-4-Mini-Hindi-4B is supporting these initiatives with high accuracy benchmarks for AI models.
  • NVIDIA's AI Enterprise software platform provides additional resources, including technical support and enterprise-grade security, to streamline AI development.



  • India, a country rich in linguistic diversity, is harnessing the power of Artificial Intelligence (AI) to bridge the language gap and cater to its vast population. With over 22 constitutionally recognized languages and more than 1,500 recorded dialects, India's multilingual landscape presents a unique challenge for businesses and developers seeking to create AI models that resonate with its diverse audience.

    In this context, NVIDIA, a global leader in AI technology, is playing a pivotal role in empowering Indian enterprises and startups to develop cutting-edge language models that cater to the country's linguistic diversity. Leveraging its NeMo framework, an end-to-end, cloud-native suite of microservices for developing generative AI, NVIDIA is enabling businesses to build customized language models that can process multiple languages, including Hindi, Bengali, Marathi, Tamil, and Telugu.

    One such initiative is the development of TeNo, a sovereign large language model (LLM) platform by Tech Mahindra, an Indian IT services and consulting company. Using NVIDIA NeMo, Tech Mahindra has created an AI-powered platform that harnesses high-quality fine-tuning data to deliver localized services across industries such as banking, education, healthcare, and more.

    Moreover, Sarvam AI, a startup in the NVIDIA Inception program for cutting-edge startups, has developed India's first homegrown, multilingual LLM, known as Sarvam 1. Trained from scratch on domestic AI infrastructure powered by NVIDIA H100 Tensor Core GPUs, Sarvam 1 supports English and 10 major Indian languages. The platform uses NVIDIA AI Enterprise software, including NeMo Curator and NeMo Framework, to optimize and deploy conversational AI agents with sub-second latency.

    Another notable initiative is the development of a multilingual speech-to-speech LLM by Gnani.ai, another Inception startup. Leveraging NVIDIA Hopper GPUs and NeMo Framework, Gnani.ai has created a model that powers AI customer service assistants handling over 10 million real-time voice interactions daily for more than 150 banking, insurance, and financial services companies across India and the U.S.

    The availability of NVIDIA's Nemotron-4-Mini-Hindi-4B, a small language model for Hindi, is another significant milestone in this endeavor. This model, packaged as an NVIDIA NIM microservice, can be easily deployed on any NVIDIA GPU-accelerated system to optimize performance.

    To support these initiatives, NVIDIA has released the Nemotron-4-Mini-Hindi-4B model, which harnesses the power of NeMo Curator and NeMo Framework to deliver high accuracy benchmarks for AI models with up to 8 billion parameters. This model can be easily harnessed by businesses to support use cases across industries such as education, retail, and healthcare.

    Furthermore, NVIDIA's NVIDIA AI Enterprise software platform provides additional resources, including technical support and enterprise-grade security, to streamline AI development for production environments. This comprehensive solution empowers businesses to focus on developing cutting-edge AI models that cater to the linguistic diversity of India's population.

    As Indian enterprises and startups continue to leverage NVIDIA's NeMo framework, the company is poised to revolutionize the AI landscape in India. With its commitment to supporting domestic innovation and fostering a sovereign AI ecosystem, NVIDIA is playing a pivotal role in shaping the future of AI for India's multilingual population.



    Related Information:

  • https://blogs.nvidia.com/blog/llms-indian-languages/


  • Published: Thu Oct 24 04:44:15 2024 by llama3.2 3B Q4_K_M











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