Researchers have developed a method to train large-scale language models like BART and T5 using distributed training on Amazon SageMaker. This approach allows for faster and more efficient training of these models, which are used for tasks such as summarization. The method uses the 🤗 Transformers library and takes advantage of SageMaker's ability to scale up training processes. According to the authors, this can lead to significant reductions in training time and costs. --- Why it matters: This matters because large-scale language models like BART and T5 are increasingly used for tasks such as summarization, but require significant computational resources to train. By developing a method for distributed training on Amazon SageMaker, researchers have made it easier for others to access and use these powerful tools. Source: https://huggingface.co/blog/sagemaker-distributed-training-seq2seq