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BharatGen's 'Recipe' for Building a Trillion Parameters Indic Model | AIM
The consortium insists sovereignty doesn't mean shutting the door on global players. BharatGen, the IIT Bombay-led consortium that bagged the biggest GPU allocation under the IndiaAI Mission, is now laying out the framework to achieve its most ambitious target yet -- a trillion-parameter model. The
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BharatGen bets on small models to hit big AI goals - The Economic Times
An academic consortium based out of IIT Bombay, BharatGen last week secured the largest government support under the India AI Mission -- Rs 988.6 crore. Seven other entities were also selected under the mission to receive incentives for building foundational AI models. Government-backed AI
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BharatGen, an IIT Bombay-led consortium, secures major funding under India's AI Mission to develop large language models and small language models for various sectors, aiming to establish India's sovereign AI capabilities.

BharatGen, an academic consortium led by IIT Bombay, has emerged as a frontrunner in India's push for sovereign artificial intelligence capabilities. The group has secured the largest allocation of ₹988.6 crore (nearly ₹1,000 crore) under the India AI Mission, along with 13,640 H100 GPUs, positioning itself at the forefront of the country's AI development efforts
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.At the heart of BharatGen's ambitious plans is the development of a trillion-parameter model. This monumental task is not just about scaling compute power but also about building the necessary infrastructure that India currently lacks in terms of data, talent, and what the consortium calls 'recipes' for sovereign AI
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.Rishi Bal, head of BharatGen, emphasized the significance of this goal: "We picked this ambitious goal because we really want to move the needle on what's possible to build in India today. But this is not just about the models. It's about the entire ecosystem... it's a steep ramp"
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.While the trillion-parameter model is a headline-grabbing objective, BharatGen is equally focused on developing a suite of small language models (SLMs) for various domains. These SLMs are seen as crucial for unlocking enterprise value and providing a sovereign resource base for Indian firms
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.BharatGen's strategy involves a two-way approach: developing large models to inform the creation of smaller, more efficient ones. Ganesh Ramakrishnan, principal investigator at BharatGen, explained, "There is a trajectory of small to large models, and vice versa. Some intermediate models will be better achieved when distilled from large models"
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The consortium's efforts build upon their previous work, including Param-1, a bilingual LLM with 2.9 billion parameters launched in May. This model was pretrained on high-quality data across five trillion tokens in English and Hindi, showcasing BharatGen's commitment to developing AI solutions tailored for Indian languages
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.BharatGen's ultimate goal extends beyond just creating powerful models. The initiative aims to develop inclusive and efficient AI across 22 Indian languages, emphasizing the importance of linguistic diversity in AI development. This aligns with India's broader ambition to establish itself as a global player in AI while maintaining sovereignty over its AI resources
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