Update README.md

merveenoyan · web-flow · commit ff8495f477d4 · 2024-12-20T17:17:19.000+01:00
diff --git a/README.md b/README.md
@@ -20,6 +20,6 @@ Latest examples 👇🏻
 | VLM Fine-tuning    | [QLoRA/Fine-tune IDEFICS3 or SmolVLM on VQAv2](https://github.com/merveenoyan/smol-vision/blob/main/Smol_VLM_FT.ipynb)                                                                          | QLoRA/Full Fine-tune IDEFICS3 or SmolVLM on VQAv2 dataset                                                                 |
 | VLM Fine-tuning (Script)   | [QLoRA Fine-tune IDEFICS3 on VQAv2](https://github.com/merveenoyan/smol-vision/blob/main/smolvlm.py)                                                                          | QLoRA/Full Fine-tune IDEFICS3 or SmolVLM on VQAv2 dataset                                                                 |
 | Multimodal RAG    | [Multimodal RAG using ColPali and Qwen2-VL](https://github.com/merveenoyan/smol-vision/blob/main/ColPali_%2B_Qwen2_VL.ipynb)                                                                          | Learn to retrieve documents and pipeline to RAG without hefty document processing using ColPali through Byaldi and do the generation with Qwen2-VL                                                              |
-| Multimodal Retriever Fine-tuning    | [Fine-tune ColPali for Multimodal RAG]([https://github.com/merveenoyan/smol-vision/blob/main/ColPali_%2B_Qwen2_VL.ipynb](https://github.com/merveenoyan/smol-vision/blob/main/Finetune_ColPali.ipynb))                                                                          | Learn to apply contrastive fine-tuning on ColPali to customize it for your own multimodal document RAG use case                                                              |
+| Multimodal Retriever Fine-tuning    | [Fine-tune ColPali for Multimodal RAG](https://github.com/merveenoyan/smol-vision/blob/main/Finetune_ColPali.ipynb)                                                                          | Learn to apply contrastive fine-tuning on ColPali to customize it for your own multimodal document RAG use case                                                              |
 | Speed-up/Memory Optimization | Vision language model serving using TGI (SOON)                                                                                                                          | Explore speed-ups and memory improvements for vision-language model serving with text-generation inference |
 | Quantization/Optimum/ORT     | All levels of quantization and graph optimizations for Image Segmentation using Optimum (SOON)                                                                          | End-to-end model optimization using Optimum                                                                |
