India has a unique opportunity to become a leader in artificial intelligence (AI) for non-English markets. The country’s diverse linguistic landscape, with over 22 official languages and hundreds of dialects, presents both a challenge and an opportunity for AI development.
One of the key challenges in developing AI for non-English markets is the lack of training data. Most existing AI models are trained on English-language data, which can lead to poor performance when applied to other languages. To address this challenge, Indian startups are working on developing new multilingual models that can be trained on data from multiple languages.
One such startup is Two Platforms Inc., founded by Pranav Mistry. Two Platforms has developed Sutra, a multilingual large language model that is designed specifically for the Indian market. Sutra is trained on a massive dataset of Indian language text, and it can understand and generate text in over 100 Indian languages.
Sutra is already being used by a number of companies to develop AI-powered applications for the Indian market. For example, one company is using Sutra to develop a chatbot that can provide customer service in multiple Indian languages. Another company is using Sutra to develop a news aggregator that can deliver news in the user’s preferred language.
The development of multilingual AI models is still in its early stages, but it has the potential to revolutionize the way we interact with technology. By making AI more accessible to people who do not speak English, we can open up new possibilities for innovation and economic growth.
