Indian GPTs are here but they have a mountain to climb
Mujhe Bengaluru se Mumbai ka return ticket chahiye (I need a return ticket from Bengaluru to Mumbai)." The bot, which can understand both text and voice inputs, responded by asking for my mobile number, following which it provided me with a one-time password (OTP), asked for my name, travel dates, gender, and coach requirements. It almost lured me into buying a ticket. I figured out that Ask Disha, which can answer questions in English, Hindi and Gujarati, is a next generation bot, one that uses generative artificial intelligence (GenAI).
Systems powered by GenAI can generate a range of content, from text to high quality images and video. For now, apart from train bookings, Ask Disha can help with payments, cancellations and changing boarding stations. It was developed by Bengaluru-based conversational AI startup CoRover and is based on a local large language model (LLM) called BharatGPT.
LLMs are AI algorithms that use huge datasets to understand and generate content. BharatGPT was trained to understand and process Indian languages and even dialects—today, it is available in more than 14 Indian languages. Then, for the Greater Chennai Police, a division of the Tamil Nadu Police, CoRover has developed a virtual assistant called ‘AI Police’, that can enable citizens to report violations and even facilitate real-time updates on the status of a first information report, in Tamil and English.
Businesses, similarly, can build multilingual virtual assistants simply by adding local content (documents, databases, etc.) and training the model on it, Ankush Sabharwal, co-founder and chief executive officer (CEO) of CoRover, told me. In short, local language LLMs have arrived in India and BharatGPT is just a case in point. While
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