TRL - Transformer Reinforcement Learning Quick start TRL provides post-training methods for aligning language models with human preferences. Installation : Supervised Fine-Tuning (instruction tuning): DPO (align with preferences): Common workflows Workflow 1: Full RLHF pipeline (SFT → Reward Model → PPO) Complete pipeline from base model to human-aligned model. Copy this checklist: Step 1: Supervised fine-tuning Train base model on instruction-following data: Step 2: Train reward model Train model to predict human preferences: Step 3: PPO reinforcement learning Optimize policy using reward mo…