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

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שאלה #134457

		To calculate the cosine similarity between words
done		To predict the next word in the sentence
		To store the original embedding vectors

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What is the difference between multihead attention and regular attention?

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שאלה #134469

done		Multihead attention uses multiple heads, each with its own keys, queries, and values matrices
		Regular attention does not involve softmax normalization

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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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שאלה #134470

done		By aggregating information from multiple perspectives through parallel attention heads
		By restricting the attention mechanism to a single head

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

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שאלה #134471

done		They predict the next word based on the preceding words in a sequence
		They generate text simultaneously for all words in a sequence
		They generate text in random order
		They only consider the first word in a sequence for prediction

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

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שאלה #134473

		It removes the middle portion of the document during training
		It adds extra tokens to the middle portion of the document during training
done		It swaps the positions of the prefix and suffix with the middle portion of the document
		It duplicates the prefix and suffix for each training instance

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

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שאלה #134474

		Only the prefix is provided, and the model generates the entire sequence from scratch
		Only the suffix is provided, and the model generates the entire sequence from scratch
		Only the middle portion is provided, and the model generates the prefix and suffix
done		Both the prefix and suffix are provided, and the model generates the middle portion

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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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שאלה #134475

done		Training with FIM does not hurt the performance of models trained in the standard autoregressive manner
		Training with FIM significantly improves the performance of models trained in the standard autoregressive manner
		Training with FIM leads to a slight decrease in performance of models trained in the standard autoregressive manner
		Training with FIM only improves the performance of models in specific use cases

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In MQA, what do all the query heads share?

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שאלה #134476

		The same set of queries
done		The same set of key and value heads
		The same set of keys
		The same set of values

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

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שאלה #134477

done		Accelerate the speed of generating tokens in the decoder
		Reduce the number of queries in the attention mechanism
		Increase the number of heads in the attention mechanism
		Enhance the accuracy of the attention mechanism

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How does MQA differ from traditional multi-head attention?

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שאלה #134478

		MQA uses a single query head while traditional multi-head attention uses multiple query heads
		MQA uses multiple key and value heads while traditional multi-head attention uses a single key and value head
done		MQA uses multiple query heads but only one key and value head
		MQA uses a single key and value head while traditional multi-head attention uses multiple key and value heads

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