Comparison
Encoder vs Encoder-Decoder
Encoder and Encoder-Decoder are both common AI/LLM terms but cover different ideas. Here is a quick side-by-side.
When you would reach for Encoder
Encoder comes up when the question is fundamentally about architecture.
BERT classifying a sentence as positive or negative.
When you would reach for Encoder-Decoder
Encoder-Decoder comes up when the question is fundamentally about architecture.
T5: every NLP task framed as text-to-text.
Frequently asked
What is the difference between Encoder and Encoder-Decoder?
Encoder: An encoder is a transformer module that reads an input sequence and produces a contextualized representation — a vector per token that captures meaning in context. Encoder-Decoder: An encoder-decoder model has a separate encoder that reads the input and a decoder that generates the output, with cross-attention linking them. T5 and the original transformer are encoder-decoders.
When should I use Encoder vs Encoder-Decoder?
Encoder is the right concept when you are focused on architecture. Encoder-Decoder applies when you are focused on architecture.
Are Encoder and Encoder-Decoder the same thing?
No. Encoder is architecture; Encoder-Decoder is architecture. They are related but address different parts of the AI stack.