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@@ -317,12 +317,12 @@ trainer.train()
 
 <a name="RL"></a>
 ## 💡 Reinforcement Learning
-RL including DPO, GRPO, PPO, Reward Modelling, Online DPO all work with Unsloth. We're in 🤗Hugging Face's official docs! We're on the [SFT docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth) and the [DPO docs](https://huggingface.co/docs/trl/main/en/dpo_trainer#accelerate-dpo-fine-tuning-using-unsloth)! List of RL notebooks:
+RL including DPO, GRPO, PPO, Reward Modelling, Online DPO all work with Unsloth. We're in 🤗Hugging Face's official docs! We're on the [GRPO docs](https://huggingface.co/learn/nlp-course/en/chapter12/6) and the [DPO docs](https://huggingface.co/docs/trl/main/en/dpo_trainer#accelerate-dpo-fine-tuning-using-unsloth)! List of RL notebooks:
 
 - ORPO notebook: [Link](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_(8B)-ORPO.ipynb)
 - DPO Zephyr notebook: [Link](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Zephyr_(7B)-DPO.ipynb)
-- KTO notebook: [Link](https://colab.research.google.com/drive/1a2b3c4d5e6f7g8h9i0j)
-- SimPO notebook: [Link](https://colab.research.google.com/drive/1a2b3c4d5e6f7g8h9i0j)
+- KTO notebook: [Link](https://colab.research.google.com/drive/1MRgGtLWuZX4ypSfGguFgC-IblTvO2ivM?usp=sharing)
+- SimPO notebook: [Link](https://colab.research.google.com/drive/1Hs5oQDovOay4mFA6Y9lQhVJ8TnbFLFh2?usp=sharing)
 
 <details>
   <summary>Click for DPO code</summary>