NITI Aayog has signed a Statement of Intent with Indian AI startup Sarvam AI to build a pilot for an Enterprise Reasoning Engine (ERE) atop the National Data and Analytics Portal (NDAP). This initiative aims to improve the accessibility and usability of data for efficient decision-making in government and other sectors. This is said to provide users with a ‘seamless natural language interface’ to manage structured and unstructured data.
“This initiative marks a significant milestone in advancing data-driven governance and fostering innovation across sectors,” said NITI Aayog in the announcement on X.
NDAP is an initiative launched by NITI Aayog that is designed to democratise access to public and government data. The platform was announced in 2022 to the public, before which a beta version was released in August 2021.
“NDAP follows a use-case-based approach to ensure that the datasets hosted on the platform are tailored to the needs of data users from government, academia, journalism, civil society, and the private sector,” read the announcement from the Press Information Bureau of India.
Sarvam AI is a startup dedicated to building generative AI models and solutions. In October, Sarvam AI also announced a partnership with Infosys to build small language models for Infosys Topaz Baking SLM and Infosys Topaz ITOpsSLM systems.
Sarvam AI also released Sarvam-1, the first AI model optimised for Indian languages. Besides English, the model supports ten languages, namely Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, and Telugu. The model outperformed Google’s Gemma-2 and Meta’s Llama-3 on certain benchmarks.
A few months ago, The Ministry of Skill Development & Entrepreneurship (MSDE) announced a partnership with Meta to introduce an AI Assistant built by Sarvam AI for the Skill India Mission. They established five Centers of Excellence (CoEs) in Virtual Reality (VR) and Mixed Reality (MR) at National Skill Training Institutes (NSTIs) in Hyderabad, Bengaluru, Jodhpur, Chennai, and Kanpur.
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