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To system prolonged context prompts correctly, products call for strong recall capabilities. The 'Needle Inside of a Haystack' (NIAH) evaluation steps a model's capacity to accurately remember data from a huge corpus of data. We Increased the robustness of the benchmark through the use of one of 30 random needle/concern pairs for each prompt and te