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SkillsMP는 OpenRaiser/NanoResearch에서 8개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 8개 중 8개를 표시합니다.
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace,…
원문 언어: 영어
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's…
원문 언어: 영어
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
원문 언어: 영어
Search academic literature and generate research hypotheses
원문 언어: 영어
Produce an experiment blueprint from a research hypothesis
원문 언어: 영어
Draft a LaTeX research paper from all previous stage outputs
원문 언어: 영어
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX…
원문 언어: 영어
Generate a Python code skeleton from an experiment blueprint
원문 언어: 영어