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To approach long context prompts successfully, models have to have robust remember capabilities. The 'Needle In A Haystack' (NIAH) analysis measures a product's capability to accurately recall information from a broad corpus of information. We Increased the robustness of this benchmark through the use of one among thirty random needle/problem pairs

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