An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

A system that generates images by inducing random fluctuations in a laser beam could slash energy use compared with standard ...

The encoder–decoder approach was significantly faster than LLMs such as Microsoft’s Phi-3.5, which is a decoder-only model.