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autoresearch-ml

@proyecto26 · 收录于 1 周前

Autonomous LLM training optimization with GPU support. Runs 5-minute training experiments, measures val_bpb, keeps improvements or reverts — repeat forever. Use this skill when the user asks to "train a model autonomously", "optimize LLM training", "run ML experiments", "autoresearch with GPU", "optimize val_bpb", "autonomous ML training", "LLM pretraining loop", "setup ML autoresearch", "GPU training experiments", "pretrain from scratch", "speed up training", "lower my loss", "GPU optimization", "CUDA training", or mentions "train.py", "prepare.py", "bits per byte", "val_bpb", "NVIDIA GPU training", "RTX training", "H100 training", "autonomous model training", "consumer GPU training", "low VRAM training". Always use this skill when the user wants to autonomously optimize any ML training metric.

适合你,如果正在用GPU训练LLM并希望自动优化验证损失。

/ 通过 npx 安装 校验哈希
npx oh-my-skill add proyecto26/autoresearch-ai-plugin/autoresearch-ml
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- proyecto26/autoresearch-ai-plugin/autoresearch-ml
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify proyecto26/autoresearch-ai-plugin/autoresearch-ml
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
12GitHub stars
~3K最小装载
~14.9K含声明引用
~14.9K文本包总量
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