DataHour: Large Language Models for India

In this DataHour, we will learn about Large Language Models (LLM) trained on Indian languages for India specific use cases. Popular LLMs like OpenAI's GPT-4 and Anthropic's Claude have captured public attention and are already being adopted by enterprises for various generative AI based use cases from chat to customer service to enterprise knowledge management amongst others. 

Although these LLMs are trained in 50+ languages, their coverage and support of Indian languages is limited. Strategically, this motivates the need to build unique country specific LLMs that can address the complexity and diversity of languages in a country like India. 

Indian startups like Sarvam.ai, Ola's Krutrim, CoRover.ai, KissanAI as well as larger IT service companies like Tech Mahindra have embraced this mission and recently released LLMs trained on Indian languages.

Dr Sundeep Teki is an established Leader in Applied AI & Neuroscience with 16+ years of diverse international experience in USA, UK and India across leading organizations at Big Tech (Amazon Alexa AI), unicorn Startup (Swiggy), and Academia (Wellcome Trust Fellow at Oxford, PhD from UCL).Sundeep has published 40+ papers in top AI & Neuroscience conferences and journals with 2600+ citations. His work has been recognized by several awards by international organizations like the Royal Society, The Wellcome Trust, Oxford University, and University College London. Sundeep provides expert AI consulting services to tech startups as well as personalized coaching for aspiring AI/ML professionals to help them crack jobs at top tech companies. Sundeep also blogs about the AI industry, careers, and use cases.