In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the ...

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

The separation of encoder and decoder components represents a promising future direction for wearable AI devices, efficiently balancing response quality, privacy protection, latency and power ...

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

Computational optics integrates optical hardware and algorithms, enhancing imaging capabilities through joint optimization ...