This tech talk, "Deep Dive into Transformer Architecture Layer by Layer," offers a detailed exploration of Transformer models, unraveling their architecture step by step. Attendees will gain insights into core components like self-attention and positional encoding, understand the encoder and decoder stacks, and explore masking mechanisms. We'll also cover Transformer variants, real-world applications, future directions, and conclude with a Q&A session. By the end, participants will have a thorough understanding of Transformers and be inspired to apply this knowledge in their work.