What is the TRL library
⚡ What is the TRL library trl stands for Transformers Reinforcement Learning . It is an open-source library by Hugging Face that lets you train and fine-tune large language models (LLMs) using reinforcement learning (RL) methods , especially: RLHF (Reinforcement Learning with Human Feedback) DPO (Direct Preference Optimization) PPO (Proximal Policy Optimization) 🧠Why TRL Exists Normal fine-tuning (like LoRA) teaches a model to predict text. But for chatbot-like behavior, we want the model to: follow human instructions, give helpful, harmless, honest answers, and align with human preferences. This is done using reinforcement learning from feedback (RLHF) — which is exactly what trl makes easy. ⚙️ What TRL Provides Component Purpose PPOTrainer Fine-tunes models using PPO algorithm DPOTrainer Fine-tunes using human preference pairs (DPO) RewardModel helpers Train reward models from human feedback SFTTrainer Supervised fine-tuning on instruction...