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SSA achieves superior long-context inference by leveraging gist tokens, outperforming traditional attention mechanisms without the need for complex architectural modifications.
Decentralized coordination in multi-agent systems can boost reasoning performance and cut costs by 50% in large language model applications.
LLMs can maintain near-perfect accuracy on long sequences with only 25% of the KV cache, thanks to a novel semantic clustering approach that dramatically improves CPU-GPU offloading.