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Time of India
12-06-2025
- Science
- Time of India
Made in India, Made for India: The new AI model supports 22 regional languages and emphasizes inclusivity, ethics and cultural relevance.
Live Events In a longstanding aim toward extending AI's reach into the deepest corners of the nation, the Union Minister of State for Science and Technology, Dr. Jitendra Singh, cuts the ribbon placed in front of 'BharatGen,' India's first indigenously made, government-funded multimodal LLM, at the BharatGen Summit held in New Delhi on Monday. This summit checked another goal in India's path towards an inclusive and ethics centric AI BharatGen AI model was conceived under the National Mission on Interdisciplinary Cyber-Physical Systems (NMICPS) and steered by the TIH Foundation for the IoT and IoE at IIT Bombay. It fuses text, speech, and image modalities to deliver solutions in 22 Indian languages. 'We hope our efforts toward creating a sovereign Generative AI ecosystem and milestones such as the release of such LLM model checkpoints, serves as a foundation for India-specific solutions.' said professor Ganesh Ramakrishnan, from IIT Bombay and the lead of BharatGenThis initiative, supported by the Department of Science and Technology (DST), collaborates with leading academic institutions and innovators to create a model that is deemed ethical, inclusive, and multilingual and inculcates innate Indian values and ethos, as described by Dr. the summit, Dr. Singh elucidated the model's potential to transform sectors like healthcare, education, agriculture, and governance by providing solutions that are specific to the region. This multilingual capability of the AI model enables the democratization of superspecialty hospital services to extend into the rural areas of the country via AI-driven telemedicine and doctors communicating to the patients in their native languages. 'This builds trust and has a placebo-like psychological effect, connecting remote regions with superspecialty hospitals.'This model also resonates with (PM) Narendra Modi's vision of 'India's Techade,' along with Dr. Singh emphasizing innovation for inclusion. 'Our goal is not just to build AI models but to provide resources that startups and system integrators can leverage', said professor Ramakrishnan. This statement underlines BharatGen's role as not merely a technology release but a foundational tool for building India-specific AI solutions across Singh also sheds light on the role of the Anusandhan National Research Foundation (NRF) in boosting India's R&D ecosystem and highlighted flagship schemes like PM MUDRA Yojana, PM SVANidhi, and PM Vishwakarma Yojana, which support micro-entrepreneurs, artisans, and street summit further celebrated NEP (National Education Policy) 2020 for introducing interdisciplinary learning, enabling students to blend humanities and technology for enhanced employability and innovation. Agri-tech start-ups, including lavender cultivation in Jammu and Kashmir, were recognized as well as proof of innovation thriving beyond the glass windows of urban IT launching of BharatGen is a pivotal moment in the country's AI journey, for it aims to create technology that resonates with the nation's diverse linguistic and cultural interests. By blending AI into various sectors and promoting inclusivity alongside innovation, BharatGen moves toward a goal that strives to build an indestructible bridge that covers the gap between the citizens' empowerment and the digital divide. ( source
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Business Standard
02-06-2025
- Politics
- Business Standard
Everything to know about Bharat Gen, the AI-based LLM for Indian languages
Union Minister for Science and Technology, Jitendra Singh, launched 'Bharat Gen', an artificial intelligence (AI)-based multimodal Large Language Model (LLM) designed for Indian languages, in New Delhi on Monday. Developed under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) and implemented through TIH Foundation for IoT (Internet of Things) and IoE (Internet of Everything) at IIT Bombay, Bharat Gen aims to revolutionise AI development across India's linguistic and cultural spectrum, Singh said. Bharat Gen is backed by the Department of Science and Technology (DST) and brings together a consortium of top academic institutions, experts, and innovators to lead AI research and application. Describing the project, Singh said it represents a national-level effort to build AI that is 'ethical, inclusive, multilingual, and deeply rooted in Indian values and ethos.' AI to support healthcare, education, and governance "This initiative will empower critical sectors such as healthcare, education, agriculture, and governance, delivering region-specific AI solutions that understand and serve every Indian," Singh said. He also shared a real-life example from his own constituency of Udhampur, where an AI doctor communicates fluently in the patient's native language. "It not only builds trust but has a placebo-like psychological effect, enabling better care in remote regions connected with superspeciality hospitals across India," he explained. Singh highlighted the growing role of Generative AI in governance at the grassroots level, particularly through improved feedback systems in government platforms. "The integration of multilingual feedback systems into platforms like CPGRAMS helps enhance citizen engagement and grievance redressal," he said. What is AI-based multimodal LLM A multimodal Large Language Model (LLM) powered by AI is a highly advanced system that can understand and process various types of input, such as text, images, sound, and video. Unlike traditional language models that work only with text, multimodal models can combine different kinds of data. For example, they can look at an image and answer questions about it or watch a video and describe what's happening. These systems are trained on huge and diverse datasets that include more than just written words, which helps them carry out complex tasks across formats. By using multiple types of input, these models can interact in a way that's more similar to how humans understand the world. This makes them highly effective for practical use in areas like healthcare (such as reading scans and reports), education (like using visuals alongside text to aid learning), and accessibility (for instance, describing images to people with visual impairments). Multimodal LLMs are a big step forward in creating AI that's more adaptable, aware of context, and user-friendly.