Bhavish Aggarwal, known for co-founding Ola, has revealed Krutrim SI Designs, a venture targeting India-specific artificial intelligence(AI) solutions. Krutrim, comprising AI models crafted specifically for India’s diverse linguistic landscape, represents a significant leap in tailoring AI to India’s cultural and language nuances.
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The base model, Krutrim, is a large language model (LLM) trained on an impressive two trillion tokens, a substantial portion of which represents Indic languages, setting it apart from existing models. 22 Indian languages, and it can generate content in approximately 10 of them, including Marathi, Hindi, Bengali, Tamil, Kannada, Telugu, Odia, Gujarati, and Malayalam.
The base large language model, named Krutrim, promises to outperform even GPT-4 on Indic language performance. Beyond linguistic prowess, Krutrim’s voice capabilities enable nuanced interactions, reflecting an understanding of the Indian ethos.
Krutrim’s roadmap extends further with the upcoming Krutrim Pro, a multi-modal model set to enhance problem-solving and task-execution capabilities. Early access sign-ups for the base model have commenced, with a full open release scheduled for January 2024. Developers can access Krutrim APIs from February 2024.
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Aggarwal emphasized Krutrim’s integration within Ola’s ecosystem, utilized for customer support, voice and chat services, and customer sales calls. The venture, spearheaded by Aggarwal and Krishnamurthy Venugopala Tenneti, recently secured $24 million in debt funding from Matrix Partners, supplementing Aggarwal’s personal contributions.
Moreover, Krutrim SI Designs is expanding its horizons beyond AI models, focusing on silicon-AI domain acquisitions and the development of silicon chips, cloud infrastructure, and cost-effective AI hardware tailored to India’s needs. Krutrim’s three core areas—applied AI and engineering, infrastructure, and silicon hardware and software—are poised to revolutionize India’s AI landscape.
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Krutrim’s innovative architecture incorporates energy-efficient chipsets, paving the way for silicon prototypes next year and a production-ready AI server by 2025. Additionally, Krutrim is addressing AI’s energy demands by designing efficient cooling technology, high-capacity networks, and data centers with significantly reduced energy waste, setting a new standard in the industry.
Aggarwal envisions a holistic approach where AI, silicon, and infrastructure converge seamlessly, forming the foundation for a robust AI computing ecosystem. For Krutrim, the convergence of AI models, infrastructure, and silicon technology remains a paramount endeavor driving its mission to redefine India’s AI landscape.
