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

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

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

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How does attention help resolve the ambiguity in word meanings?

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How does attention help resolve ambiguous meanings in word embeddings?

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

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

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

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

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