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Mostrando 4 de 4 skills recopiladas.
Guide for adding a new benchmark or training environment to NeMo-Gym. Use when the user asks to add, create, or integrate a benchmark, evaluation, training environment, or resources server into NeMo-Gym. Also use when wrapping an existing 3rd-party benchmark…
Idioma del texto original: inglés
Use when debugging a Nemo Gym run or reward profiling job. Covers rollout collection failures, empty or partial JSONL outputs, stale materialized inputs, verifier/schema errors, Ray or Slurm issues, vLLM readiness, judge failures, tool/sandbox failures, cache…
Idioma del texto original: inglés
Use when creating, validating, or documenting Nemo Gym pivot datasets from rollout, trajectory, chat-completion, Responses API, or tool-call artifacts. Covers Gym Responses-style row conversion, pivot selection, single-step tool-use configs, agent_ref…
Idioma del texto original: inglés
Use to help users get started with Nemo Gym reward profiling. Covers the basic gym env start, gym eval run, and gym eval profile workflow, repeated rollouts, materialized inputs, rollout JSONL artifacts, task and rollout identity, output inspection, partial…
Idioma del texto original: inglés
Copia este prompt en el asistente de IA que estés usando.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/NousResearch/Gym.No se ha podido cargar el README. Puedes seguir explorando los Skills del repositorio a continuación.