From 7c466c32d2aba9e9bc79184a34093e7d1286a798 Mon Sep 17 00:00:00 2001
From: Maxime Labonne <81252890+mlabonne@users.noreply.github.com>
Date: Thu, 6 Jun 2024 14:47:14 +0100
Subject: [PATCH] Fix link

https://github.com/mlabonne/llm-course/issues/79
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 7187790..08214ad 100644
--- a/README.md
+++ b/README.md
@@ -241,7 +241,7 @@ After supervised fine-tuning, RLHF is a step used to align the LLM's answers wit
 * [Illustration RLHF](https://huggingface.co/blog/rlhf) by Hugging Face: Introduction to RLHF with reward model training and fine-tuning with reinforcement learning.
 * [Preference Tuning LLMs](https://huggingface.co/blog/pref-tuning) by Hugging Face: Comparison of the DPO, IPO, and KTO algorithms to perform preference alignment.
 * [LLM Training: RLHF and Its Alternatives](https://magazine.sebastianraschka.com/p/llm-training-rlhf-and-its-alternatives) by Sebastian Rashcka: Overview of the RLHF process and alternatives like RLAIF.
-* [Fine-tune Mistral-7b with DPO](https://huggingface.co/blog/dpo-trl): Tutorial to fine-tune a Mistral-7b model with DPO and reproduce [NeuralHermes-2.5](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B).
+* [Fine-tune Mistral-7b with DPO](https://mlabonne.github.io/blog/posts/Fine_tune_Mistral_7b_with_DPO.html): Tutorial to fine-tune a Mistral-7b model with DPO and reproduce [NeuralHermes-2.5](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B).
 
 ---
 ### 6. Evaluation