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Once collected, the raw data will be sifted through to make it usable by improving access, quality and utilisation of the information, a senior government official said, requesting not to be named.
“The idea is to provide seamless access to startups, companies, academics and researchers to large swathes of domestic data. Once we have all the data in the same place, it will be easier for us to apply artificial intelligence (AI) and machine learning (ML) to create localised large language models (LLM),” the official said.
The collection and sifting of all the data is likely to take up to six months following which the government will open up the collated database for training of the LLMs, small-language models, ultra-large language models, foundational models, and others, he said.
The ministry of electronics and information technology also plans to allow the trained data to be used by domestic startups and companies to build application programming interfaces, which can interact with the language models built on top of the database and provide specialised services, another official said.
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