Train language models to follow human preferences.
Guides language-model training with TRL to produce instruction-following models and models aligned with human preferences.
When to use it
Use for preference alignment, reinforcement learning, reward-model training, or a complete RLHF pipeline.
Give it a language-model training request; it provides training workflows and code that train, save, and evaluate models.
The training examples require Python; no Python version is specified.
The training workflows use the trl package, which the quick-start installation command installs.
This skill
HuggingFace
Downloads training models and datasets
pip
Installs TRL training packages