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/trl-fine-tuning

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace

shell
$ npx -y skills add braxtonROSE4/zorro-agent --skill trl-fine-tuning --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/trl-fine-tuning
How auto-invocation works

Context preview

The summary Claude sees to decide when to auto-load this skill.

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace
Ships withzorro-agent

A self-evolving CLI agent. Most agents treat memory as an afterthought — a flat text file that grows until it's useless.

Get the whole plugin, auto-invoked
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Python
Language
MIT
License
3mo ago
Last commit
3mo ago
Created

Repo: braxtonROSE4/zorro-agent