AI for Non-English Markets: India’s Potential as a Leader

India has the potential to become a leader in artificial intelligence (AI) for non-English markets by developing new multilingual models that can overcome the complexity of the country’s diverse languages. This was the vision shared by Pranav Mistry, founder and CEO of Two Platforms Inc., at the Mint Digital Innovation Summit 2024 in Mumbai. According to Mistry, Indian startups can drive this change by fine-tuning existing models and developing new ones that do not require training from scratch. Two Platforms and South Korea’s Naver Corp. have already released Sutra, a multilingual large language model designed specifically for the Indian market. Sutra has its own tokenizer that includes all Indian languages in a balanced manner and has been outperforming other local Indian LLMs as well as models like GPT3.5,4 and llama.

PhonePe’s Indus Appstore Expands to Indian Languages with Voice Search Feature

Indus Appstore, owned by PhonePe, has integrated voice search functionality in ten Indian languages to increase its user base and acceptance. The app store aims to reach 75% of Indian internet users who prefer local languages. The voice search feature uses artificial intelligence and machine learning to ensure accuracy and understand various accents and speech patterns. This feature is expected to benefit app developers by boosting app installs. The move towards voice search is seen as a significant step in creating an inclusive and accessible app store, especially since 82% of smartphone users engage in voice-activated technology.

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