Map interpreted optimization problems into cuOpt-native models for the fast path with minimal clarifying questions.
原文语言:英语
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SkillsMP 已收集 NVIDIA/cuopt-examples 中的 8 个 Skill。打开任一 Skill 可查看来源和详情。
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Map interpreted optimization problems into cuOpt-native models for the fast path with minimal clarifying questions.
原文语言:英语
Run cuOpt in the NemoClaw sandbox — probe/smoke gates, prefer cancelable Python gRPC jobs, use legacy remote execution only when that API is unavailable, then vendored cuOpt skills.
原文语言:英语
Choose fast direct-to-cuOpt solve versus replayable or auditable model artifact mode.
原文语言:英语
Infer optimization structure from uploaded tables and identify minimal clarifications before cuOpt modeling.
原文语言:英语
Troubleshoot cuOpt LP/MILP problems including errors, wrong results, infeasible solutions, performance issues, and status codes. Use when the user says something isn't working, gets unexpected results, or needs help diagnosing issues.
原文语言:英语
Coordinate uploaded data plus a natural-language question into interpretation, clarification, cuOpt solve, and a user-facing answer.
原文语言:英语
Classify whether a data-backed request is LP, MILP, QP, routing, or non-optimization analytics.
原文语言:英语
Multi-period supply chain planning model: data files, BOM structure, variable/constraint reference for the max-supply base model.
原文语言:英语