At Microsoft’s Build 2023 event, Jugalbandi was announced. The Azure OpenAI service’s chatbot makes use of GPT models.
Early in April 2022, Jugalbandi was presented to the inhabitants of Biwan. Ten of India’s 22 official languages are currently covered by the chatbot. The bot currently supports limited Indian languages, but it is being trained with new languages through multiple collaborations.
Jugalbandi, an Indian research group has been using generative Artificial Intelligence (AI) to develop mobile help that would make information on government programs available in a variety of languages. Jugalbandi is backed by Microsoft and Infosys co-founder Nandan Nilekani. Jugalbandi utilized AI4Bharat language models and Microsoft’s Azure OpenAI Service for artificial intelligence (AI).
Operation of Jugalbandi
Jugalbandi can currently comprehend inquiries in ten different languages. It retrieves details from commonly written English government websites and converts them into the appropriate local languages in order to respond to the queries. It utilizes the WhatsApp messaging service, which is owned by Meta Platforms.
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Potential pf Jugalbandi
Microsoft emphasizes the potential of Jugalbandi in India. It claims that Jugalbandi overcomes the linguistic barrier because just 11% of India’s 1.4 billion people can speak English. Among the bot’s accomplishments are helping a student get a scholarship and a farmer apply for pensions.
Accuracy problems
Jugalbandi can seem credible when giving answers, yet they are made up. This Jugalbandi trait has been referred to as hallucination. Jugalbandi’s use is limited by a data shortage since organizations frequently lack the funds or capacity to create data pipelines for the bot to use.
These models do occasionally make mistakes, according to Pratyush Kumar, the co-principal investigator at AI4 Bharat and lead researcher at Microsoft Research India. They are machines that use probabilities. He said that AI4 Bharat was attempting to resolve these problems in the Jugalbandi.
Microsoft notes that chatbots powered by AI, like Jugalbandi, have “rough edges” and that users’ engagement is the only method to train the model. Collaborations with regional stakeholders are essential for providing accurate responses in regional tongues.
However, once polished, customers would be able to comprehend and sign up for fundamental government programs without difficulty.
