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What is the function of the Values matrix in the attention mechanism?

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What is the difference between multihead attention and regular attention?

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How does multihead attention contribute to the model's ability to capture complex patterns in the data?

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What is a defining characteristic of auto-regressive models in natural language processing (NLP)?

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How does the FIM method modify the training dataset to address its goal?

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During inference with the FIM method, what is the process for generating text?

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What did the authors of FIM find regarding the performance of models trained with FIM compared to models trained in the standard autoregressive manner?

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In MQA, what do all the query heads share?

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What is Multi-Query Attention (MQA) primarily designed to achieve?

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How does MQA differ from traditional multi-head attention?

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