Neural Networks
Attention Mechanism
A technique that allows models to focus on specific parts of the input data when making predictions.
Expanded definition
Attention mechanisms are key components in neural networks that enable the model to weigh the importance of different input elements. They help in managing long sequences by allowing models to give varying levels of attention to different parts of the data. This is particularly useful in tasks like translation and summarization, where certain words or phrases may be more significant than others.
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