Transformer Models Decoders - Latest Information & Updates 2026

Web Reference: Sep 12, 2025 · While the original transformer paper introduced a full encoder-decoder model, variations of this architecture have emerged to serve different purposes. In this article, we will explore the different types of transformer models and their applications. 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. 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 composed of just two sublayers: the causally masked self-attention, and the feedforward network.

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