<ul><li>Sarvam AI's release of its latest LLM, Sarvam-M, sparked discussion on India's AI approach and challenges.</li><li>The model supports 10 Indian languages but received only 334 downloads, leading to criticism.</li><li>Investor Deedy Das criticized Sarvam's effort, questioning its ambition and impact.</li><li>Critics compared Sarvam to other models like Google's and TWO.ai's, questioning its relevance.</li><li>Sarvam's valuation stands at $111 million, with a funding of $41 million from investors.</li><li>Despite some reservations, users appreciated Sarvam-M's performance in Indian languages.</li><li>Sarvam defended its model, claiming improvements in Indian languages and showcasing use cases.</li><li>Critiques varied from expectation mismatch to the relevance of Sarvam's AI efforts in India.</li><li>India's need for AI solutions for its diverse population and languages is highlighted.</li><li>The discussion reflects the challenge of building and utilizing AI models for Bharat's needs.</li></ul>

Sarvam AI’s Backlash Exposes the Sad State of Indian AI

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