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What sets LLaMA 2 apart from other large language models like GPT concerning attention mechanisms?

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LLaMA 2 differentiates itself by utilizing grouped query attention instead of traditional multi-head attention. In grouped query attention, query heads are divided into groups, sharing key and value heads. This division enhances processing efficiency, making LLaMA 2 more efficient in handling attention mechanisms.
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