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To system lengthy context prompts proficiently, designs require robust remember capabilities. The 'Needle Within a Haystack' (NIAH) evaluation actions a model's capability to properly remember info from a wide corpus of data. We Increased the robustness of the benchmark by making use of among 30 random needle/query pairs for each prompt and testing