In 2024, India is experiencing a significant shift in the field of AI, thanks to the government’s support for homegrown AI startups. This has led to major developments in the tech and business sectors, with AI models being integrated with local languages, cultural relevance, and practical applications. These models have not only empowered Indian businesses but have also set benchmarks for the global AI ecosystem. In this article, we will discuss the top Indian AI models launched in 2024 and how they are helping India advance AI developments worldwide.
BharatGen is the first government-funded initiative for developing multimodal LLMs in India. It stands for building “GenAI for Bharat, by Bharat” and has recently unveiled e-vikrAI, an advanced solution powered by Vision Language Models. This model is designed for product images in Indic e-commerce and simplifies cataloguing for sellers by providing auto-generated titles, descriptions, features, and pricing suggestions, all with a deep understanding of Indic culture.
During his visit to India, NVIDIA CEO Jensen Huang launched the Nemotron-4-Mini-Hindi-4B model, a small but powerful Hindi language model designed to cater to regional demands. This model, part of NVIDIA’s NIM microservice, can be deployed on NVIDIA GPU-accelerated systems, optimizing performance for various applications. Tech Mahindra is the first to implement this model, creating Indus 2.0, which focuses on Hindi and its dialects. The Nemotron Hindi model has 4 billion parameters and was derived from a 15-billion-parameter multilingual model, Nemotron-4. It was trained with real-world Hindi data and synthetic data, including English, and leads on multiple accuracy benchmarks for AI models with up to 8 billion parameters.
Bhavish Aggarwal’s Ola Krutrim launched its first AI model, Krutrim, earlier this year. The model can understand 22 Indian languages and generate text in 10, including Hindi, Marathi, Bengali, Tamil, Kannada, Telugu, Odia, Gujarati, and Malayalam. Krutrim has been trained on over 2 trillion tokens, with a strong focus on Indian data, making it uniquely suited to reflect the nuances of India’s heritage and culture.
Sarvam AI, an Indian AI startup, has launched Sarvam-1, the first LLM optimized specifically for Indian languages. Developed with 2 billion parameters, Sarvam-1 supports 10 major Indian languages—Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, and Telugu. One of Sarvam-1’s key features is its computational efficiency, offering four to six times faster inference speeds compared to larger models.
In conclusion, the launch of these top Indian AI models in 2024 has been a game-changer for the country, with a focus on integrating local languages, cultural relevance, and practical applications. These models have not only empowered Indian businesses but have also set benchmarks for the global AI ecosystem. With continued support from the government and advancements in AI technology, India is poised to make significant contributions to the field of AI in the years to come.
