India's Sarvam launches Prism: Its 105B model completes a single inference in just 44 milliseconds.
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Beating AI News Flash: Indian AI firm Sarvam has launched open-source decision-making model Prism, fine-tuned from Sarvam 105B. Prism adopts a Mixture of Experts (MoE) architecture, with a total of around 105 billion parameters, though only approximately 10 billion are activated per inference run. Thanks to inference optimization, the median response time for a single request has dropped from 664 milliseconds to 44 milliseconds, a speedup of roughly 15 times. Sarvam tested 25 decision models; Prism scored an average of 71.8 points across three benchmarks, making it the highest-scoring model with a response time under 100 milliseconds. The firm also ran tests on 2,000 multiple-choice questions, and Prism’s answers remained consistent regardless of option shuffling. The model’s weights are now released under the Apache 2.0 license, allowing enterprises to fine-tune and deploy it independently.
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