Dive into a comprehensive video explanation of the groundbreaking "Attention Is All You Need" paper, which introduced the Transformer model. Learn the inner workings of the original Transformer through a detailed walkthrough using a simple machine translation example from English to German. Explore key concepts including tokenization, embeddings, positional encodings, encoder preprocessing, multi-head attention mechanisms, pointwise networks, causal masking, source attending, vocabulary space projection, loss functions, and decoding. Gain a deep understanding of this influential architecture that has revolutionized natural language processing and beyond.