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SkillsMP ha recopilado 8 skills de OpenRaiser/NanoResearch. Abre una skill para revisar su origen y sus detalles.
Mostrando 8 de 8 skills recopiladas.
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,…
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
Idioma del texto original: inglés
Search academic literature and generate research hypotheses
Idioma del texto original: inglés
Produce an experiment blueprint from a research hypothesis
Idioma del texto original: inglés
Draft a LaTeX research paper from all previous stage outputs
Idioma del texto original: inglés
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…
Idioma del texto original: inglés
Generate a Python code skeleton from an experiment blueprint
Idioma del texto original: inglés