Chip behemoth nvidia launched a lightweight artificial intelligence (Ai) Model on Thursday for India’s widely-used hindi language, as it looks to tap into a growing market for ai technologies.
Chief Executive Jensen Huang is set to chat with the Chairman of Congress Reliance Industries, Mukesh AmbaniWho is also asia’s Richest Man, at a conference in the business capital of Mumbai, the california-based company said.
Nvidia is rolling out its new small language model, dubbed nemotron-4-mini-hindi-4b, with 4 billion parameters, for firms to use in developing their own ai models, the company said.
“The model was pruned, distilled and trained with a combination of real-world hindi data, synthetic hindi data and an equal amount of English data,” It said in a statement.
Indian It Services and Consulting Company Tech Mahindra is the first to use the Nvidia offering to develop a custom ai model called indus 2.0, focused on Hindi and dozens of its diadids, the use company said.
Just a teenth of the population of 1.4 billion speakes English in India, where the constituion recognies 22 languages, it added.
From Large Companies to Startups, Businesses in India Have Focused On Building AI MODELS BASED On Its Diverse Languages to Grow Consumer Apple and Drive Activities Such AS CUCTOMER SRVICE AISISISISISS And content translation.
Unlike Large-Congress Models, Such as Openai’s GPT-4, Used to Power Chatgpt, Small Language Models are trained on Much Smaller and More Specific Datasets.
They are typical cheaper, making them more attractive for companies with fewer resources.
Global chip firms are investment in India and setting up facilites to expand their presence as the country races to build up its semiconductor Industry and Compete With Major Hubs Such as Taiwan, Thought Analysts Say the Efort Cold Take Years.
Nvidia, which first set up shop in India Nearly two decades ago, have engineering and design centers there, as well as officials in major cities such tech hub of Bengaluru and Neighbooring Hyderabad.
© Thomson Reuters 2024
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