Transformers have a versatile architecture that can be adapted beyond NLP. ... In tasks like translation, transformers manage context from past and future input using an encoder-decoder structure.

Transformer architecture (TA) models such as BERT (bidirectional encoder representations from transformers) and GPT (generative pretrained transformer) have revolutionized natural language processing ...

Learn With Jay. Transformers’ Encoder Architecture Explained — No Phd Needed! Posted: May 7, 2025 | Last updated: May 7, 2025. Finally understand how encoder blocks work in transformers, with ...

The Transformer architecture is made up of two core components: an encoder and a decoder. The encoder contains layers that process input data, like text and images, iteratively layer by layer.