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Called Sarvam 2B, the model is trained on 4 trillion tokens of an internal dataset.
Called Sarvam 2B, the model is trained on 4 trillion tokens of an internal dataset.
From building AI agents that can converse in Indic languages to developing AI chatbots that help UPSC aspirants prep better, these Indian startups can do it all!
The startup is offering two full-time job opportunities: the Summer Internship and the AI Residency.
Bengaluru-based Sarvam AI looks to create an LLM from scratch, while also using existing open-source models like Mistral, Databricks DBRX, and Meta’s Llama 2
Advocates it to be open like the internet.
Khosla Ventures invests in passionate founders with transformative ideas targeting large markets and clear risk strategies. Some of the popular Indian startups include Sarvam AI, Upliance AI and others.
A substantial 1639 hours have already been transcribed, with a median of 73 hours per language.
It includes 100k high quality, multi turn conversations (>700k turns) in English, Hindi, and Hinglish curated exclusively with an Indic context.
An open-source ecosystem needs to develop for this to happen
The model is built on top of Sarvam AI’s OpenHathi.
A self-taught AI enthusiast and developer, Vik Paruchuri, believes his OCR model, Surya, would help create low-resource Indic language datasets and models.
The aim is to break the existing language barrier in the country.
The aim is to provide a user-friendly platform for creating LLM applications, ensuring they can be easily deployed at a population scale.
OpenAI decides to enter India at a time when India-focused AI models are on the rise
The company will also work with Indian enterprises to co-build domain-specific AI models on their data
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