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Home » AI India » Meet Adithya Kolavi, a 20-year-old, who developed Indic LLM Leaderboard

Meet Adithya Kolavi, a 20-year-old, who developed Indic LLM Leaderboard

Adithya Kolavi has taken the world of artificial intelligence by storm. As the founder and CEO of CognitiveLab, he is making waves in the AI community with the launch of his latest initiative, the Indic LLM Leaderboard.

raya-author-image by Raya
Friday, 12 April 2024, 3:07 AM
in AI India
adithya kolavi congitive lab founder

adithya kolavi congitive lab founder

Adithya Kolavi, a 20-year-old AI researcher and entrepreneur, has taken the world of artificial intelligence by storm. As the founder and CEO of CognitiveLab, he is making waves in the AI community with the launch of his latest initiative, the Indic LLM Leaderboard. This innovative platform is designed to evaluate and compare large language models (LLMs) specialized in Indic languages, addressing a critical gap in the market.

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Adithya Kolavi’s Background and Achievements

Currently studying at PES University for a degree in computer science, Kolavi has shown remarkable dedication, balancing his academic pursuits with multiple internships and entrepreneurship. In May 2023, he launched an AI-based startup called CognitiveLab.

With a keen interest in natural language processing, he recognized the need for an evaluation framework and leaderboard to support Indic LLMs. This led him to develop indic_eval, a companion tool that complements the Indic LLM Leaderboard.

Also, he developed India’s first Kannada bilingual Large Language Model, Ambari, and engineered Cognitune, an enterprise-grade LLMops platform.

Kolavi is also engaged in research on vision transformers at the Indian Institute of Science (IISc) and leads the Google Developer Student Clubs as a full-time lead.

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About the CognitiveLab

CognitiveLab is an AI research and development company focusing on natural language processing (NLP) and machine learning (ML) solutions. The company aims to create advanced and innovative technologies that address real-world challenges and improve the state of AI in various domains.

The Indic LLM Leaderboard

The Indic LLM Leaderboard is a significant project developed by CognitiveLab. This platform serves as an open-source hub where researchers and developers can compare and evaluate large language models (LLMs). The leaderboard is available in seven Indic languages- Hindi, Kannada, Tamil, Telugu, Malayalam, Marathi, and Gujarati.

The leaderboard provides an organized and centralized way to assess various LLMs based on benchmarks and metrics, which helps accelerate the development and deployment of advanced language models tailored to the unique characteristics of Indic languages. By fostering collaboration and sharing of knowledge, the Indic LLM Leaderboard promotes innovation and growth in the field of NLP for Indic languages.

In addition to the leaderboard, Kolavi has developed indic_eval a companion tool that complements the Indic LLM Leaderboard. This tool further supports researchers and developers in evaluating and improving Indic LLMs.


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Moving Ahead

In an interview with AnalyticsIndiaMag, Adithya Kolavi expressed his desire to make artificial intelligence accessible to even the remotest parts of India. “Even the remotest villages in the country should be able to access it,” said Kolavi. “It should become like a second-nature Internet where people can openly use and experience the usefulness of AI.”

He added, “I’m looking forward to the day when people integrate AI into common apps such as WhatsApp and have a Kannada interface.”

With the Indic LLM Leaderboard, Adithya Kolavi has created a valuable resource that will drive progress in the field and contribute to the advancement of AI applications for diverse linguistic communities. The world needs to keep an eye on this young trailblazer, as his passion and ingenuity are sure to bring about even more groundbreaking developments in the years to come.

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Raya is a tech enthusiast diving deep into New-Age technology, especially Artificial Intelligence (AI) and Machine Learning (ML). She is passionate about decoding the complexities and uses of new-age tech. Raya is on a mission to write articles that bridge the gap between technical jargon and everyday understanding, making AI and ML accessible to a wider audience.

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