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To approach long context prompts effectively, versions have to have robust recall capabilities. The 'Needle Within a Haystack' (NIAH) analysis actions a product's capacity to properly remember data from a large corpus of information. We Improved the robustness of this benchmark through the use of considered one of thirty random needle/dilemma pairs