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Applied Compute
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가입 July 2012
24 팔로잉 중    8.3K 팬
@nvidia’s Nemotron 3 Ultra handles software-engineering tasks at a fraction of the per-task cost of frontier models. So we trained a router to send each coding task to the cheapest model that can successfully solve it, cutting inference cost while holding frontier-level quality. The result: GPT-5.5-level pass rates on held-out SWE-bench Verified at ~25% lower cost. The oracle policy sends 72% of tasks to Nemotron 3 Ultra, and the trained router captures most of that.
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