The attention mechanism is a technique used in machine learning and natural language processing to increase model accuracy by focusing on relevant data. It enables the model to focus on certain areas of the input data, giving more weight to crucial features and disregarding unimportant ones.
Nov 28, 2023
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Attention
Machine learning
The machine learning-based attention method simulates how human attention works by assigning varying levels of importance to different words in a sentence. Wikipedia
The core idea behind the Transformer model is the attention mechanism, an innovation that was originally envisioned as an enhancement for encoder–decoder RNNs ...