How India Can Expand AI Prominence With Hanooman LLM

Dr. Vishnu Vardhan on Rolling Out Hanooman LLM
Dr. Vishnu Vardhan, founder and CEO, Seetha Mahalakshmi Healthcare

In line with India's agenda to appear on the global AI map, Seetha Mahalakshmi Healthcare, SML, has built the country's very own foundational AI model, Hanooman, named after the Hindu deity. "Hanooman will initially work on text-to-text operations, with plans for expansion into text-to-code, image processing, generative recognition, and video analysis," said Dr. Vishnu Vardhan, founder and CEO, SML.

What makes Hanooman stand out from its global competitors, including Gemini and ChatGPT, is its commitment to India-centric AI solutions, Dr. Vardhan said. SML's strategy is to integrate Indian data sets and contexts to solidify the country's standing in global AI innovation. Their efforts also facilitate other companies in creating innovative and homegrown AI products.

This effort involved assembling a research team and acquiring advanced computing infrastructure vital for training these large language models. Creating an LLM is like building a factory, Dr. Vardhan said, citing costs of up to $80 to $90 million primarily due to computing expenses.

In this video interview with Information Security Media Group, Dr. Vardhan also discussed:

  • Rollout plan for India's first multilingual and multimodal AI with 372 billion parameters;
  • Cost and language challenges Indian enterprises face in using open-source and closed models;
  • Potential for India to excel in deep tech, robotics and biotech with generative AI.

Dr. Vardhan is an accomplished trauma surgeon, digital health tech visionary, and serial entrepreneur with more than two decades of experience in the healthcare sector.

About the Author

Sandhya Michu

Sandhya Michu

Senior Assistant Editor - Editorial, ISMG

Michu is an experienced professional with over 10 years of expertise in the ICT industry. She has worked with leading media groups such as Cybermedia, 9.9 media and The Indian Express. Michu's focus areas include enterprise technology and government tech initiatives.

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