training-optimization

Advanced techniques for optimizing LLM fine-tuning. Covers learning rates, LoRA configuration, batch sizes, gradient strategies, hyperparameter tuning, and monitoring. Use when fine-tuning models for

by ScientiaCapital· Repository·data

Run in AgentArea Browse All Skills

Also installable via skills CLI

npx skills add ScientiaCapital/unsloth-mcp-server/.claude/skills/training-optimization

Source

Repo:SkillsMP + GitHub Raw

Path:.claude/skills/training-optimization(main)

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