According to DeepLearning.AI, a new course titled 'Attention in Transformers: Concepts and Code in PyTorch' has been introduced, focusing on the critical attention mechanism in transformer models. The course is taught by Joshua Starmer, founder of StatQuest, and aims to provide a deep understanding of attention mechanism implementation using PyTorch. This knowledge is essential for traders and developers looking to enhance algorithmic trading models with advanced machine learning techniques. Source: DeepLearning.AI Twitter