Understanding Transformers

Magnus emphasizes the importance of RNNs and LSTMs as foundational concepts leading to the development of transformers. He highlights the complexity of transformers and the necessity of understanding encoder-decoder networks and attention mechanisms. Despite the rise of transformers, he believes that RNNs and LSTMs will continue to play a significant role in various applications, including computer vision.