Update chapters/en/Unit 0 - Welcome/welcome.mdx

Co-authored-by: Mohammed Hamdy <62081584+mmhamdy@users.noreply.github.com>

chapters/en/Unit 0 - Welcome/welcome.mdx

@@ -95,7 +95,7 @@ The course is organized into multiple units, covering the fundamentals and delvi
 * **Unit 10 - Synthetic Data Creation** : discover the importance of synthetic data creation using deep generative models. Explore methods like point clouds and diffusion models and investigate major synthetic datasets and their applications in computer vision.
 * **Unit 11 - Zero Shot Computer Vision** : delve into the realm of zero-shot learning in computer vision, covering aspects of generalization, transfer learning, and its applications in tasks such as zero-shot recognition and image segmentation. Explore the relationship between zero-shot learning and transfer learning across various computer vision domains.
 * **Unit 12 - Ethics and Biases in Audio and Computer Vision** : understand the ethical considerations specific to computer vision. Explore why ethics matter, how biases can infiltrate AI models, and the types of biases prevalent in these domains. Learn how to do bias evaluation and mitigation strategies, emphasizing responsible development and deployment of AI technologies.
-* **Unit 13 - Outlook and Emerging Trends** : explore current trends and emerging architectures . Delve into innovative approaches like Retentive Network, Hiera, Hyena, I-JEPA, and RMT.
+* **Unit 13 - Outlook and Emerging Trends** : explore current trends and emerging architectures . Delve into innovative approaches like Retentive Network, Hiera, Hyena, I-JEPA, and Retention Vision Models.
 
 ## Meet our team