Blowing Up Transformer Decoder Architecture

Blowing Up Transformer Decoder Architecture

Explore the intricacies of the Transformer Decoder architecture in this 26-minute video tutorial. Delve into key concepts such as text processing, data batching, position encoding, and the creation of query, key, and value tensors. Learn about masked multi-head self-attention, residual connections, and multi-head cross-attention. Understand how to complete the decoder layer, train the Transformer model, and perform inference. Gain valuable insights into the inner workings of this powerful neural network architecture used in natural language processing tasks.