Fine Tuning With Trl

You're looking at a wrapper for TRL (Transformer Reinforcement Learning), the library that handles post-training alignment for language models. It covers supervised fine-tuning, reward modeling, and RLHF workflows, giving you the standard toolkit for instruction tuning or aligning models with human preferences. The skill comes from orchestra-research's AI research collection and has passed most security audits, though Snyk flagged a warning. It's practical if you're doing any kind of model customization beyond base pretraining, but the skill itself is pretty minimal. You're mostly getting quick access to TRL's API through Claude Code rather than novel abstractions on top of it.