Term #2,240
Attention
Claim Term
Attention
Origin matter
A method for screening manuscripts
Reference Case 1
BRT_PAT-2-PROV
Date Added
7/14/25
Created
7/14/25, 5:31 PM
Modified
7/15/25, 6:30 PM
Full Desc
"Attention" refers to a computational mechanism within a neural network—particularly within transformer architectures—that dynamically assigns weights to different elements of an input sequence (e.g., words, tokens, sentences, or whole written works), allowing the model to selectively focus on parts of the input that are most relevant to a given task or context. This mechanism enables the model to capture relationships between distant or contextually significant elements in the data and plays a central role in generating coherent and context-sensitive outputs. (Defined in conjunction with ChatGPT 4o Version, July 14, 2025.)
Applications using this term
| Matter | Usage | Notes | Actions |
|---|---|---|---|
| BRT-PAT-2-PROV | Defined | — | App terms |