The Transformer's architecture uses two main parts: an encoder and a decoder ... architecture was seen outperforming the best machine translation models at tasks like the WMT English-to-German ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

This architecture was initially designed for machine translation tasks, where the encoder processes the input sentence in the source language, and the decoder generates the corresponding sentence in ...

such as machine translation or summarization. The encoder processes the input data to form a context, which the decoder then uses to produce the output. This architecture is common in both RNN-based ...

Search Engine Land » SEO » Transformer architecture ... like translation? In tasks like translation, transformers manage context from past and future input using an encoder-decoder structure.