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AI GLOSSARY

Encoder-Decoder

Neural Network Architectures

A neural network architecture consisting of two connected components: an encoder that processes and compresses input into a representation, and a decoder that uses that representation to generate output. Encoder-decoder architectures are widely used for tasks that transform one sequence into another, such as translation, summarization, and speech recognition.
See also: encoder, decoder, transformer.

External reference