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 you need RLHF, want to align a model with human preferences, or train from human feedback. Works with Hugging Face Transformers, tokenizers and datasets.