India Unveils BharatGen: World's First Government-Funded Multimodal AI to Revolutionize Public Services and Language Accessibility

October 3, 2024
India Unveils BharatGen: World's First Government-Funded Multimodal AI to Revolutionize Public Services and Language Accessibility
  • On September 30, the Government of India launched BharatGen, an initiative designed to enhance public service delivery and citizen engagement through generative AI.

  • BharatGen is recognized as the world's first government-funded Multimodal Large Language Model project, focusing on Indian languages.

  • Union Minister Dr. Jitendra Singh emphasized that this initiative marks a significant step towards establishing India as a leader in Generative AI.

  • The project aims to create high-quality AI systems tailored for Indian languages, promoting technological self-reliance.

  • Key features of BharatGen include multilingual and multimodal foundational models, the use of India-specific datasets, and an open-source platform.

  • The initiative is expected to create new opportunities for innovation that cater specifically to Indian needs and attract startups focused on scalable AI solutions.

  • BharatGen will foster an AI research community through training programs, hackathons, and collaborations with global experts.

  • A key focus of the initiative is data sovereignty, aiming to develop processes for collecting and curating India-centric data.

  • The project is projected to be completed within two years, benefiting various sectors including government, education, and private enterprises.

  • BharatGen aligns with the Atmanirbhar Bharat vision, joining other homegrown AI platforms to strengthen India's AI ecosystem.

  • The initiative will particularly focus on data-efficient learning to improve accessibility for Indian languages with limited digital presence.

  • Experts, including Ankush Sabharwal, have praised BharatGen as a forward-thinking step that will significantly impact the future of AI in India.

Summary based on 3 sources


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