Hugging Face's researchers have developed a method to speed up large model training using an open-source library called DeepSpeed. The technique leverages techniques like gradient checkpointing and loss scaling to reduce memory usage and increase throughput. According to the authors, this approach can lead to significant reductions in training time for large models. --- Why it matters: This matters because it could help researchers and developers train larger and more complex AI models faster, which is essential for advancing many areas of artificial intelligence, such as natural language processing and computer vision. Source: https://huggingface.co/blog/accelerate-deepspeed