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Home » AI » Who is the founder of MahaMarathi 7B? Marathi Large Language Model

Who is the founder of MahaMarathi 7B? Marathi Large Language Model

With the recent announcement of MahaMarathi 7B, excitement has surged within the Marathi-speaking community. This innovative AI tool promises significant advancements in language processing, content creation, and other applications.

raya-author-image by Raya
Monday, 4 March 2024, 23:37 PM
in AI
who is the founder of MahaMarathi 7B

who is the founder of MahaMarathi 7B

With the recent announcement of MahaMarathi 7B, a powerful Marathi large language model (LLM), excitement has surged within the Marathi-speaking community. This innovative AI tool promises significant advancements in language processing, content creation, and other applications. 

This artificial intelligence Large Language Model can handle complex discussions and instructions in Marathi. The language is spoken by over 83 million people and is the 13th most spoken in the world. But who are the brilliant minds behind this groundbreaking project?

Dr. Akash Patil played a crucial role in bringing MahaMarathi 7B to the forefront. He announced the model at the Garje Marathi Global Excellence Summit 2024. MahaMarathi 7B is a “domain-adapted, continually pre-trained, and instruction fine-tuned native Marathi large language model (LLM) with 7 Billion parameters based on Meta LLaMA-2+Mistral AI.”

In a blog post on LinkedIn, announcing the LLM, Akash Patil also says that Marathi businesses and consumers contribute over 15% to the Indian GDP, with the GSDP experiencing a robust CAGR of over 10% 🇮🇳.

They have released the initial version of their pre-trained base model on Hugging Face to promote broad access and democratize machine learning research for businesses and e-governance.

MahaMarathi 7B: All You Need To Know About Latest Marathi LLM

Who created MahaMarathi 7B?

MahaMarathi 7B is an LLM created by Dr. Aakash Patil, a postdoctoral researcher at Stanford University, Mrunmayee Shende, a cofounder of CourtEasy.ai, and Niraj Kumar Singh, an ML engineer at Inbound Health. Let’s learn a bit about these brilliant minds. 

Dr Akash Patil

Dr. Aakash Patil is a postdoctoral researcher at Stanford University. According to his LinkedIn bio, he focuses on using deep learning and math modeling for complex scientific and engineering challenges. He earned his Ph.D. in Computational Mathematics from Mines ParisTech – PSL, where he developed innovative deep-learning methods for turbulence modeling and created a high-performance CPU-GPU framework for simulations.

Education 

Patil completed his bachelor’s in Mechanical Engineering from SavitriBai Phule University in Pune. he then went to Ecole Nationale Supérieure de Mécanique et d’AérotechniqueEcole to pursue a Master of Science degree in Aeronautics and Space. He completed his Ph.D. in Computational Mathematics from Mines Paris. 

Career

In 2014, Dr. Patil co-founded GreenPanda, a webtech startup helping SMEs, and successfully exited in 2019 after five years of incorporating SMEs into India’s digital ecosystem. In 2024, he and his friends developed a large language model called MahaMarathi 7B to ease the use of AI in the linguistically diverse country.

His main skills include building foundational deep learning models for challenging spatio-temporal problems, scientific computing, machine learning operations, and quantitative analysis.

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Mrunmayee Shende

Mrunmayee Shende is a mechanical engineer in Palo Alto, California, United States. She is the co-founder of CourtEasy.ai, a company working to build the next-generation artificial intelligence tool. 

Education

Shende went to Savitribai Phule Pune University to complete her bachelor’s degree in engineering. After completing her bachelor’s in 2017, she went on to pursue an MBA from SVKM’s Narsee Monjee Institute of Management Studies (NMIMS). 

Career

Mrunmayee Shende is the Co-Founder at CourtEasy.ai, where she spearheads the development of NextGen Legal AI. Prior, she served as a Community Adviser at Stanford University, contributing to international student support and cultural programs since April 2023. She has also worked as a Manufacturing and Process Development Engineer at TE Connectivity in Pune, India. 

In 2024, along with her friends, she created the powerful LLM MahaMarathi 7 B. 

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Niraj Kumar Singh 

Niraj Kumar Singh is a machine learning engineer whose core competencies are natural language processing, computer vision, and machine learning system design. Niraj is based in Santa Clara, California, United States. 

Education

Niraj Singh went to the Indian Institute of Technology, Madras, where he pursued a Bachelor of Science (BS) in Biology/Biological Sciences. During his undergraduate years, he seized the opportunity to participate in a Student Exchange Program at Hanyang University in 2016. 

He then pursued his master’s degree in Computer Science at the University of Massachusetts, Amherst.

Career

Niraj Kumar Singh began his professional journey as a Machine Learning Engineer at Curai Health, California. Following this, he transitioned to IrisAgent as a Machine Learning Engineer. His role at IrisAgent lasted five months. Currently, he holds the position of Machine Learning Engineer at Inbound Health, a role he has been actively engaged in since 2023. 

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Frequently Asked Questions

What is MahaMarathi 7B?

MahaMarathi 7B is a large language model (LLM) that can handle complex discussions and instructions in Marathi. It has 7 Billion parameters based on Meta LLaMA-2+Mistral AI.

Who created MahaMarathi 7B?

MahaMarathi 7B was created by Dr. Aakash Patil, a postdoctoral researcher at Stanford University, Mrunmayee Shende, a cofounder of CourtEasy.ai, and Niraj Kumar Singh, an ML engineer at Inbound Health.

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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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