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What distinguishes the second model from the first model developed by Dell?

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שאלה #134417

		It translates code into natural language
		It assists in autocompleting code in configuration files
		It is trained on large amounts of configuration files
done		It generates code from natural language descriptions

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What does "the Stack" refer to in the context of BigCode?

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שאלה #134419

		A programming language-specific data structure
		A physical storage device for code repositories
sentiment_very_satisfied		A collection of code snippets from diverse sources
		A metaphorical representation of software development stages

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What is the purpose of embeddings in Language Model (LLM)?

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שאלה #134421

		Representing mathematical equations
done		Bridging the understanding between humans and computers
		Storing computational variables
		Defining programming syntax

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How does attention help resolve the ambiguity in word meanings?

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שאלה #134422

done		By providing additional context from the sentence
		By ignoring the ambiguous words altogether

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How does attention help resolve ambiguous meanings in word embeddings?

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שאלה #134423

		By replacing the word with its synonyms
done		By changing the original coordinates of the word based on context

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In the context of attention, how does the word "orange" affect the embedding of the word "apple" in the sentence "please buy an apple and an orange"?

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שאלה #134424

		It pulls the word "apple" towards the tech side
		It removes the word "apple" from the sentence
done		It pushes the word "apple" towards the fruit side
		It doesn't affect the embedding of the word "apple"

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How are the coefficients for each word normalized in the attention mechanism?

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שאלה #134440

		By taking the square root
		By applying the sigmoid function
		By dividing by the maximum coefficient
done		By using softmax

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Why are the coefficients normalized with softmax in the attention mechanism?

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שאלה #134441

		To increase the magnitude of coefficients
		To reduce the magnitude of coefficients
		To make the coefficients negative
done		To make the coefficients sum up to 1

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What is the purpose of Keys and Queries matrices in the attention mechanism?

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שאלה #134455

sentiment_very_satisfied		To modify the embedding vectors to find better similarities
		To eliminate the need for embedding vectors
		To transform words into numeric representations

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What role do the Keys and Queries matrices play in finding similarity?

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שאלה #134456

		They directly compute the similarity between words
done		They modify the embedding vectors to improve similarity calculation
		They store the original embeddings for each word
		They determine the position of words in the sentence

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