BharatGen, India's homegrown AI, rakes in a massive Rs. 988.6 crore under the IndiaAI Mission, earning the largest share of MeitY's Rs. 1,500 crore allocation.
BharatGen, a government-backed multimodal Sovereign AI flagship initiative, has received funding of Rs. 988.6 crore from the Ministry of Electronics and Information Technology (MeitY). This announcement was made at an event in Delhi, India, by the Hon'ble Union Minister of Electronic & IT, Ashwini Vaishnaw.
The funding will support the development of powerful AI models, including Large Language and Multimodal Models with up to one trillion parameters. These models are expected to boost the development of India-focused technologies like text-to-speech, speech recognition, and vision-language tools.
BharatGen is led by Rishi Bal, Executive Vice President, and Prof. Ganesh Ramakrishnan, IIT Bombay, Principal Investigator. The consortium includes leading institutions such as IIT Bombay, IIT Madras, IIIT Hyderabad, IIT Kanpur, IIT Hyderabad, IIT Mandi, IIM Indore, IIIT Delhi, and IIT Kharagpur.
The leading institutions involved in BharatGen's India's Multimodal Sovereign AI Initiative also include the Indian Institute of Science (IISc) Bangalore, Tata Institute of Fundamental Research (TIFR), and the Center for Artificial Intelligence and Robotics (CAIR).
BharatGen has already made significant strides in AI development, with the launch of Param-1, a bilingual LLM with 2.9 billion parameters, pretrained on 5 trillion tokens in English and Hindi. The next phase will expand to multilingual and multimodal AI systems across all 22 scheduled Indian languages.
The models developed by BharatGen are expected to support real-world applications across key areas such as agriculture, governance, finance, healthcare, and education. The development of these models is expected to be carried out on advanced supercomputing clusters.
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The press release is related to an announcement made at an event in Delhi, India. The funding will help BharatGen create powerful AI models, including Large Language and Multimodal Models with up to one trillion parameters, which will contribute significantly to India's AI landscape.