You are building a model to predict customer churn for a telecom company. The model will take as input a customer's recent call data and predict whether the customer is likely to churn or not. You decide to use an attention model to help the model focus on the most important parts of the customer's call data.

Which of the following statements best describes the role of the attention mechanism in this model?

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The attention mechanism is used to randomly select the parts of the input data, which are then used to make predictions

The attention mechanism is used to weight different parts of the input data, so that the most important parts are given more influence in the prediction

The attention mechanism is used to measure the similarity between different parts of the input data, so that the model can identify patterns and relationships

The attention mechanism is used to transform the input data into a more useful representation, which is then used to make the prediction