In a significant move towards enhancing AI capabilities within the Indian linguistic landscape, Sarvam AI has launched “Samvaad,” an open-source series of meticulously curated datasets tailored for the Indian market. This release comprises an impressive collection of 100,000 high-quality, multi-turn conversations, encompassing over 700,000 turns, in English, Hindi, and Hinglish. Sarvam AI announced the news in a LinkedIn post.

Catering specifically to the nuances of the Indic context, these datasets promise to be invaluable resources for developers and enthusiasts operating within this domain. Hosted on Hugging Face, a leading platform for sharing and discovering AI models and datasets, Samvaad opens doors to a myriad of possibilities for those seeking to delve deeper into the intricacies of Indian languages.

Sarvam AI, in collaboration with Hugging Face, extends a warm invitation to the community to stay abreast of forthcoming updates and developments in this exciting journey. Enthusiasts and professionals alike are encouraged to join the conversation on their Discord channel, fostering a vibrant exchange of ideas and insights.

This release marks yet another milestone for Sarvam AI, following its recent partnership with Microsoft Azure to make its Indic Voice Large Language Model (LLM) available on Azure. With a mission to develop and deploy generative AI models tailored for Indic languages and contexts, Sarvam AI is at the forefront of driving innovation in this space.

The introduction of Samvaad builds upon Sarvam AI’s commitment to democratizing access to advanced AI technologies. Bolstered by a recent Series A funding round that raised USD 41 million, led by Lightspeed and supported by Peak XV Partners and Khosla Ventures, Sarvam AI is well-positioned to realize its vision of empowering AI-powered applications at a population scale.

The excitement surrounding the release of Samvaad is palpable within the Indic LLM community, with enthusiasts eagerly anticipating the potential for fine-tuning high-quality models on this rich dataset. As Sarvam AI continues to push the boundaries of AI innovation in the Indic space, the prospects for driving meaningful impact across diverse linguistic landscapes appear brighter than ever before.