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Good News for Indian AI ecosystem!UIDAI or ADHAR has partners with indigenous GenAI Company Sarvam AI to enhance user experience of Aadhaar services. Aadhaar Services to get AI-Powered Voice Interactions, Fraud Detection, and Multilingual Support. This move by Gov. create confidence among indigenous AI companies
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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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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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๐ Big Leap for Bharat in AI!๐ฎ๐ณ Say hello to Sarvam Samvaad โ Indiaโs very own multilingual conversational AI platform, tailor-made for 11 Indian languages! Built by homegrown innovator Sarvam AI, this platform empowers businesses to create, test,
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This is a huge leap for the Indian AI ecosystem! Sarvam-M being open-weight and built on top of Mistral is super excitingโespecially for those of us working in Indic NLP and multilingual apps. The focus on coding, math, and 10 major Indian language
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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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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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1. The Problem (Healthcare in Bharat) Clinics, labs, and small hospitals lack digital assistance Regional language support is missing in AI tools Staff is overwhelmed with repetitive patient queries No explainability or compliance in current AI syste
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