To approach prolonged context prompts efficiently, models require robust recall capabilities. The 'Needle In A Haystack' (NIAH) evaluation steps a model's capability to correctly recall information and facts from a huge corpus of knowledge. We Increased the robustness of this benchmark by using one of thirty random needle/issue pairs for every prom