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K-Risk reveals that a knowledge-augmented dataset can significantly improve the understanding and management of high-risk driving scenarios in autonomous vehicles.
Forget end-to-end fine-tuning: ChainFed unlocks private LLM adaptation on edge devices by training adapters layer-by-layer, boosting accuracy by up to 46%.
