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#305 Update README.md

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Ghost merged 1 commits into Deci-AI:master from deci-ai:sg/readme_links_DH
@@ -67,7 +67,7 @@ All SuperGradients models’ are production ready in the sense that they are com
 * 【16/06/2022】 ResNet50  - new pre-trained checkpoint and [recipe](https://github.com/Deci-AI/super-gradients/blob/master/src/super_gradients/recipes/imagenet_resnet50_kd.yaml) for ImageNet top-1 score of 81.9 💪
 * 【16/06/2022】 ResNet50  - new pre-trained checkpoint and [recipe](https://github.com/Deci-AI/super-gradients/blob/master/src/super_gradients/recipes/imagenet_resnet50_kd.yaml) for ImageNet top-1 score of 81.9 💪
 * 【09/06/2022】 ViT models (Vision Transformer) - Training [recipes](https://github.com/Deci-AI/super-gradients/blob/master/src/super_gradients/recipes) and pre-trained [checkpoints](https://github.com/Deci-AI/super-gradients#pretrained-object-detection-pytorch-checkpoints) (ViT, BEiT).
 * 【09/06/2022】 ViT models (Vision Transformer) - Training [recipes](https://github.com/Deci-AI/super-gradients/blob/master/src/super_gradients/recipes) and pre-trained [checkpoints](https://github.com/Deci-AI/super-gradients#pretrained-object-detection-pytorch-checkpoints) (ViT, BEiT).
 * 【09/06/2022】 Knowledge Distillation support - [training module](https://github.com/Deci-AI/super-gradients/blob/master/src/super_gradients/training/kd_model/kd_model.py) and [notebook](https://bit.ly/3HQvbsg).
 * 【09/06/2022】 Knowledge Distillation support - [training module](https://github.com/Deci-AI/super-gradients/blob/master/src/super_gradients/training/kd_model/kd_model.py) and [notebook](https://bit.ly/3HQvbsg).
-* 【06/04/2022】 Integration with professional tools - [Weights and Biases](https://deci-ai.github.io/super-gradients/user_guide.html?highlight=wandb#professional-tools-integration) and [DagsHub](https://dagshub.com/Deci-AI/super-gradients).
+* 【06/04/2022】 Integration with professional tools - [Weights and Biases](https://bit.ly/3BJzCUv) and [DagsHub](https://bit.ly/3bznLhc).
 * 【09/03/2022】 New [quick start](#quick-start-notebook---semantic-segmentation) and [transfer learning](#transfer-learning-with-sg-notebook---semantic-segmentation) example notebooks for Semantic Segmentation.
 * 【09/03/2022】 New [quick start](#quick-start-notebook---semantic-segmentation) and [transfer learning](#transfer-learning-with-sg-notebook---semantic-segmentation) example notebooks for Semantic Segmentation.
 * 【07/02/2022】 We added RegSeg recipes and pre-trained models to our [Semantic Segmentation models](#pretrained-semantic-segmentation-pytorch-checkpoints).
 * 【07/02/2022】 We added RegSeg recipes and pre-trained models to our [Semantic Segmentation models](#pretrained-semantic-segmentation-pytorch-checkpoints).
 * 【01/02/2022】 We added issue templates for feature requests and bug reporting.
 * 【01/02/2022】 We added issue templates for feature requests and bug reporting.
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