attentionmekanismer
Attention mechanisms are a technique used in artificial intelligence, particularly in deep learning models, to help them focus on the most relevant parts of input data when processing it. Think of it like how humans selectively pay attention to certain words in a sentence or specific objects in an image, rather than trying to process everything equally. This selective focus allows models to better understand context and relationships within the data.
In practice, attention mechanisms assign different weights or scores to different parts of the input. These
The development of attention mechanisms has been a significant advancement, especially in natural language processing and