Deep Learning, Artificial Intelligence, Mathematics, Convolutional Network, Gpt.
embeddings: While ConvNets produce naturally smooth images, ViTs may need added constraints. 2. Sequential Data Generation ConvNets: In architectures like PixelCNN: ViTs: Transformers handle sequences naturally: ViTs have the edge in naturally generating sequences, while ConvNets need specific