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A balanced mix of real and synthetic data can boost object detection performance in rural driving scenarios, but too much synthetic data can hinder model effectiveness.
Kimi K3's innovative architecture achieves a 2.5x scaling efficiency improvement, enabling robust performance across diverse long-horizon tasks.
