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Inside India’s High-Stakes Bet To Build Its Own GPT
- India is making a high-stakes bet to build its own Generative Pre-trained Transformer (GPT) models with collaborative effort from the government and four AI startups - Sarvam AI, Soket AI, Gnani.AI, and Gan.AI.
- The debate around developing India's own foundational large language models (LLMs) shifted after the emergence of DeepSeek-R1, a foundational model developed by a Chinese company.
- The Indian government announced plans to build a country-specific LLM as part of the IndiaAI Mission, selecting startups like Soket AI, Gnani.ai, and Gan.AI for the task.
- Soket AI is working on a 120 billion parameter open-source text model, Gnani.ai on a 16 billion parameter Voice AI foundational model, and Gan.AI on a 70 billion parameter multilingual foundation model.
- Sarvam AI, the first startup selected by India AI mission, is developing various model variants, including Sarvam-Large, Sarvam-Small, and Sarvam-Edge for different applications.
- The government's collaboration with AI startups aims to make GPUs more accessible and reduce the costs of building LLMs, addressing the funding challenges faced by startups.
- The increase in compute capacity and GPU support provided by the government is crucial for lowering development costs and attracting private funding into AI projects in India.
- While India is late in the AI race, focusing on developing smaller, vertical models and shaping fundamental technologies tailored for Indian needs can pave the way for future innovation in the AI sector.
- The aim of India's Sovereign AI efforts is not just owning infrastructure but shaping intelligence that caters to various sectors like agriculture, healthcare, and governance in the country's context.
- Despite challenges like GPU supply shortages and high training costs, India's aspiration to build its own AI models signifies a significant step towards creating AI that aligns with Indian realities.
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