Dive into a comprehensive 37-minute video tutorial exploring Decoder-Only Transformers, the specific type of Transformer used in ChatGPT. Learn about word embedding, position encoding, masked self-attention as an autoregressive method, and residual connections. Understand the process of generating the next word in a prompt, encoding and generating prompts, and the two-part output generation process. Compare Normal Transformers with Decoder-Only Transformers, and gain insights into the inner workings of cutting-edge AI technology. Supplementary resources for deeper understanding of related concepts like backpropagation, SoftMax function, and word embedding are also provided.