Introducing Sarvam Prism

From the source

Today we are releasing Sarvam Prism, a System One decision model built on Sarvam 105B. Typeface created this category last month and named their Jev model after Kahneman’s System One thinking, the fast and intuitive mode of judgement that handles most of what people decide in a day.

Much of work in an enterprise is a sequence of such decisions, and well calibrated decision models fit neatly into these workflows.

Best-in-class accuracy & speed: Prism sets a new point on the Pareto frontier of accuracy and speed among the 25 decision models we tested. The model scores 71.8 while responding in just 44 ms on B200 GPU, the highest-scoring model under 100 ms across the 25 models we tested, averaged over three indices.

We believe System One models improve with scale and benefit from mixture-of-expert architecture trade-offs, hence Prism is trained on the Sarvam 105B-10B base.

Calibration enterprises can trust: For an enterprise to automate a workflow, it has to trust the model’s confidence on its output. Prism’s errors is always within its confidence bounds and its answer is not affected by the order in which options are presented.

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