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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.

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# TRL - Transformer Reinforcement Learning

## Quick start

TRL provides post-training methods for aligning language models with human preferences.

**Installation**:
```bash
pip install trl transformers datasets peft accelerate
```

**Supervised Fine-Tuning** (instruction tuning):
```python
from trl import SFTTrainer