Unverified50% confidenceFactExact time
The encoder-decoder architecture was first proposed in the 2017 Transformer paper "Attention Is All You Need" and was originally designed for machine translation.
1
Sources
50%
Confidence
Long-term
Relevance
9/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe Transformer architecture was originally designed for machine translation tasks.72% similarVerifiedThe Attention Mechanism is the core component of the Transformer architecture and also the foundation of all current mainstream large language models.69% similarUnverifiedTransformer架构由Google于2017年提出，Encoder负责将输入文本编码为高维向量表示，Decoder基于编码表示逐token生成输出文本68% similarUnverifiedThe Transformer's encoder is responsible for mapping the input sequence to a contextual representation and is suitable for classification and understanding tasks, while the decoder autoregressively generates the output sequence and is suitable for text generation tasks66% similarVerifiedTransformer achieves efficient modeling of long texts through its self-attention mechanism.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/934800API
curl https://kongchang.com/api/v1/knowledge/claims/934800MCP
get_claim(id=934800)