BharatGen AI Model
Kartavya Desk Staff
Source: DD News
Context: India launched ‘BharatGen’, its first government-funded multimodal Large Language Model (LLM) designed for Indian languages at the BharatGen Summit 2025.
About BharatGen AI Model:
• What is It? ‘BharatGen’ is a multimodal Large Language Model (LLM) that supports text, speech, and image-based AI outputs in 22 Indian languages, developed to meet India’s regional, linguistic, and cultural diversity needs.
• ‘BharatGen’ is a multimodal Large Language Model (LLM) that supports text, speech, and image-based AI outputs in 22 Indian languages, developed to meet India’s regional, linguistic, and cultural diversity needs.
• Developed By: Led by the TIH Foundation for IoT and IoE at IIT Bombay.
• Funded under: The National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS).
• Objectives: To build a democratic AI ecosystem rooted in Indian languages and values. To create ethical, inclusive AI tools accessible to all regions and social groups. To support region-specific solutions across governance, health, education, and agriculture. To foster AI-based entrepreneurship, innovation, and R&D capacity in India.
• To build a democratic AI ecosystem rooted in Indian languages and values.
• To create ethical, inclusive AI tools accessible to all regions and social groups.
• To support region-specific solutions across governance, health, education, and agriculture.
• To foster AI-based entrepreneurship, innovation, and R&D capacity in India.
• Key Features: Multimodal Capabilities: Integrates text, speech, and image processing to offer a wide range of AI applications. Language Diversity: Trained on 22 Indian languages, including major and regional dialects. Inclusive Development: Designed to address rural and underserved communities, especially in health and governance. Scalability: Supports national platforms like CPGRAMS, AI-powered telemedicine, and AI in education. Collaborative Architecture: Combines efforts of government, academia, startups, and students through hackathons and R&D parks.
• Multimodal Capabilities: Integrates text, speech, and image processing to offer a wide range of AI applications.
• Language Diversity: Trained on 22 Indian languages, including major and regional dialects.
• Inclusive Development: Designed to address rural and underserved communities, especially in health and governance.
• Scalability: Supports national platforms like CPGRAMS, AI-powered telemedicine, and AI in education.
• Collaborative Architecture: Combines efforts of government, academia, startups, and students through hackathons and R&D parks.
• Significance: National Innovation Push: Aligns with “India’s Techade” vision for tech-driven inclusive growth. Cultural Relevance: Offers context-aware AI solutions reflecting Indian societal ethos. Education Reform: Embeds AI in learning under NEP 2020, bridging humanities and technology.
• National Innovation Push: Aligns with “India’s Techade” vision for tech-driven inclusive growth.
• Cultural Relevance: Offers context-aware AI solutions reflecting Indian societal ethos.
• Education Reform: Embeds AI in learning under NEP 2020, bridging humanities and technology.