القائمة
جمع SkillsMP عدد ٨ من skills من Sanoy24/tenacious-bench. افتح أي skill لمراجعة مصدره وتفاصيله.
عرض ٨ من أصل ٨ skills مجمعة.
Structure ablations, statistical comparisons, and evidence tracing for Tenacious-Bench results. Use when an agent is preparing Delta A, Delta B, or Delta C comparisons, held-out scoring traces, confidence intervals, cost or latency comparisons, evidence…
لغة النص الأصلي: الإنجليزية
Build or extend Tenacious-Bench and its supporting Week 11 artifacts for the Sales Agent Evaluation Bench challenge. Use when an agent needs to turn Week 10 sales-agent traces, probes, style guidance, or public-signal inputs into a machine-verifiable…
لغة النص الأصلي: الإنجليزية
Protect Tenacious-Bench split integrity and contamination resistance. Use when an agent is partitioning tasks, sealing held-out data, checking overlap between train and held_out, validating public-signal time windows, documenting contamination controls, or…
لغة النص الأصلي: الإنجليزية
Create, expand, or review Tenacious-Bench tasks across the required authoring modes. Use when an agent is turning Week 10 traces, probe seeds, public-signal inputs, or sales artifacts into benchmark tasks, partition-ready records, metadata-rich JSON or JSONL…
لغة النص الأصلي: الإنجليزية
Package Tenacious-Bench outputs into public, reviewer-friendly artifacts. Use when an agent is preparing a Hugging Face dataset or model card, datasheet, README, technical blog draft, publication checklist, executive memo support files, or…
لغة النص الأصلي: الإنجليزية
Write, review, or refactor Python code for the Tenacious Bench project using clean, modern, and maintainable patterns. Use when an agent is adding or editing Python modules, CLI scripts, evaluators, dataset builders, contamination checks, training-data…
لغة النص الأصلي: الإنجليزية
Design, tighten, or review machine-verifiable scoring rubrics for Tenacious-Bench tasks. Use when an agent is creating or revising schema fields, scoring evaluator logic, judge prompts, rubric dimensions, banned-phrase checks, grounding requirements, or…
لغة النص الأصلي: الإنجليزية
Convert Tenacious-Bench artifacts into high-quality training inputs for Path A, Path B, or Path C. Use when an agent is formatting chat pairs, preference pairs, step-level labels, quality filters, or path-specific training partitions for LoRA, judge training,…
لغة النص الأصلي: الإنجليزية