Irjanith enhanced the TorchRec tutorial in the pytorch/tutorials repository, focusing on distributed training concepts for recommendation systems. By updating the tutorial to the latest TorchRec library version and removing an outdated inference section, Irjanith streamlined the content to better align with current best practices in distributed machine learning workflows. The work, implemented in Python and leveraging PyTorch and TorchRec, improved the clarity and maintainability of the onboarding material for users exploring distributed training. This targeted update addressed reproducibility and usability, ensuring that new users can more easily adopt and experiment with distributed recommendation system training using modern tools and techniques.