Aug 31, 2024 · Decoder-only transformers are remarkable architectures. By leveraging self-attention, MLPs, and positional encoding, they provide LLMs with the ability to understand and generate text …

May 30, 2023 · In the decoder-only transformer, masked self-attention is nothing more than sequence padding. The 'masking' term is a left-over of the original encoder-decoder transformer module in …

Mar 4, 2024 · The decoder-only transformer has one final classification head that takes token vectors from the transformer’s final output layer as input and outputs a vector with the same size as the …

Sep 11, 2025 · A decoder-only model has a simpler architecture than a full transformer model. Starting with the full transformer architecture discussed in the previous post, you can create a decoder-only …

A "decoder-only" transformer is not literally decoder-only, since without an encoder, the cross-attention mechanism has nothing to attend to. Thus, the decoder layers in a decoder-only transformer is …

Jun 24, 2025 · A decoder in deep learning, especially in Transformer architectures, is the part of the model responsible for generating output sequences from encoded representations.

Dec 18, 2025 · The Decoder-only Transformer Next, we will stack multiple Decoder blocks to create the complete Decoder-only Transformer model. The following image shows what it looks like.

Oct 11, 2025 · The Illusion of Understanding: How Decoder-Only Transformers Like GPT Generate and Summarize Without Truly Understanding The Question That Keeps Coming Back If GPT is just a …

Sep 12, 2025 · Transformer models have revolutionized natural language processing (NLP) with their powerful architecture. While the original transformer paper introduced a full encoder-decoder model, …

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