Data Science & Analytics

Fine Tuning With TRL

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 Transformers.

Publisher / source

KalarisLabs/research-agent-skills (found on the CSV list)

Upstream record

KalarisLabs/research-agent-skills

Version

Version 2

Published

2026-11-02

Publication review

Approved for publication

Content fingerprint

d33b1bf51a51750aa7d312335d53ae58b52e0c251a68b1f8794c23b650807ab8