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๐จ BREAKING: INDIA IS BUILDING ITS OWN GPT-LEVEL AI! ๐ฎ๐ณ๐ฅ The govt just tapped Bengaluru-based Sarvam AI to create the nationโs FIRST sovereign Large Language Model (LLM) under the IndiaAI Mission. ๐ Fluent in Indian languages (Hindi, Tamil, Telugu & more) ๐ Optimized for VOICE apps ๐ Designed for secure, population-scale deployment MY TAKE: Indiaโs AI game is LEVELING UP.
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Indian AI launch: Sarvam-M, a 24B open-weights hybrid model built on top of Mistral Small. Sarvam-M achieves a new benchmark across a range of Indian languages, math, and programming tasks, for a model of its size. Here is a detailed technical blog
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India Taps Sarvam AI to Build First Homegrown Language Model Under โน10,000 Cr AI Mission In a major boost to Indiaโs AI ambitions, Bengaluru-based startup Sarvam AI has been chosen by the Ministry of Electronics and IT to build Indiaโs first soverei
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The government has officially announced that Bengaluru-based artificial intelligence (AI) startup, Sarvam AI, is the first company selected to build an indigenous foundation model under the IndiaAI Mission. This milestone marks a significant step in
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Indian AI Startup Sarvam Launches โSARVAM 1โ โ LLM Trained on 10 Indic Languages: The Indian AI ecosystem is witnessing a lo of new innovations day by day. A new innovation by SARVAM AI has come in news. It has launched an LLM trained model called S
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GenAI startup Sarvam AI, recently selected by the Centre to build Indiaโs first homegrown LLM, has unveiled a new speech AI model that supports 11 Indian languages, including Punjabi, Marathi, Odiya, Tamil and Bangla, among others. โMeet the all-new
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๐ฅSarvam AI to Launch India's First Homegrown LLM๐ฅ ๐ฅ Sarvam AI building India's first domestic LLM with 4,096 H100 GPUs โ Bengaluru startup secured โน99 crore in GPU subsidies under IndiaAI Mission, launching by early 2026 . ๐ค Why It Matters โ Re
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Sarvam AI โ Pioneering India's Indigenous AI Revolution Theme: Building India's First Homegrown Large Language Model (LLM) --- ๐ง The Challenge India's AI landscape heavily relied on foreign-developed models, limiting customization for local lan
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