Skip to main content

NVIDIA/cuopt-examples

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。

最近记录的来源活动
SkillsMP 收录数据更新
已收集 skills
8
GitHub 星标
464
GitHub Forks
86

这个仓库中的 skills

2 个职业分类 · 已分类 100%

已展示 8 / 8 个已收集 Skill。

职业分类
数据科学家
描述

Map interpreted optimization problems into cuOpt-native models for the fast path with minimal clarifying questions.

原文语言:英语

更新
职业分类
数据科学家
描述

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

更新
职业分类
数据科学家
描述

Choose fast direct-to-cuOpt solve versus replayable or auditable model artifact mode.

原文语言:英语

更新
职业分类
数据科学家
描述

Infer optimization structure from uploaded tables and identify minimal clarifications before cuOpt modeling.

原文语言:英语

更新
职业分类
软件开发工程师
描述

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

更新
职业分类
软件开发工程师
描述

Coordinate uploaded data plus a natural-language question into interpretation, clarification, cuOpt solve, and a user-facing answer.

原文语言:英语

更新
职业分类
软件开发工程师
描述

Classify whether a data-backed request is LP, MILP, QP, routing, or non-optimization analytics.

原文语言:英语

更新
职业分类
软件开发工程师
描述

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

更新
已展示 8 / 8 个已收集 Skill。