Speak fluent एआई and teach the world
India's progression in the AI race is driven by its digitally trained workforce and the prevalence of major global languages like English, Hindi, and Bengali. With the support of Nvidia, India is poised to create regional LLMs, export AI services,...

LLMs are AI programs that generate text in the language they are trained upon using enormous amounts of data. The ability to do this is derived by using statistics on the rules of grammar and composition in supervised, and eventually unsupervised, training. Huang's belief that India will be able to create a Hindi LLM shortly, thereby becoming a problem solver for the rest of the world, has a strong basis in fact. India has the capacity to export AI services just as it has been exporting IT services.
Since AI will be delivered in languages people speak, its regulation also needs to be culturally sensitive. Weeding out bias in AI output becomes more complicated if the data it trains upon has conflicting views on, say, an event in history. This kind of divergence would need to be narrowed through human intervention. Alongside its ascendancy in the AI race, India could offer the world an alternative approach to regulating AI. As AI becomes available in more Indian languages, rules of engagement will have to be drafted. Not just technology diffusion and export, but India also has a role to play in emerging AI diplomacy. All of this may not be too distant. Remember, LLMs are just about 10 years old.
The Economic Times Business News App for the Latest News in Business, Sensex, Stock Market Updates & More.