AI Companies Compete to Tailor Chatbots for India’s Linguistic Diversity
- Posted on December 28, 2024
- News
- By Arijit Dutta
- 17 Views
As AI companies race to develop language-specific tools for India’s diverse population, global firms and startups are focusing on Hindi, Tamil, and other languages. This shift aims to address communication needs in sectors like customer service while testing AI technologies that could be expanded globally.
As India’s tech market expands, global giants and local startups are racing to develop AI-powered voice assistants and chatbots that can effectively communicate in the country’s multitude of languages. With over 22 official languages and thousands of dialects spoken across its 1.4 billion people, the challenge is vast, but so are the opportunities. Companies like Microsoft, Google, and emerging startups such as Sarvam AI and Krutrim are focusing on languages like Hindi and Tamil to meet the needs of India’s booming customer service and call center industries.
Microsoft has introduced its Copilot AI assistant in 12 Indian languages and continues to innovate with smaller language models at its Bengaluru research center. These models are designed to operate efficiently on smartphones, helping bypass India’s connectivity challenges. Additionally, Microsoft is collaborating with Sarvam AI, which is developing generative AI tools specifically for Indian businesses.
Google has also entered the race with its Gemini AI assistant, launching it in nine Indian languages. Such tools aim to bridge communication gaps in sectors that rely heavily on voice-based interaction. In a country where audio messages are more commonly used than text, adapting existing large language models (LLMs) for these languages is proving to be a key focus for these companies.
Also Read: Kullu Police Rescue 5,000 Stranded Tourists After Massive Traffic Jam Due to Snowfall
Investors see India as an ideal testing ground for new AI technologies due to its diverse linguistic and cultural landscape. If successful, these tools could be expanded to other global markets, bringing scalable solutions to other regions with similar linguistic complexities. The shift towards "sovereign AI," with models tailored and stored locally, is also gaining traction, highlighting the growing importance of India's role in the global AI ecosystem.