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OrderMoE slashes average latency and cross-server traffic by intelligently grouping experts based on functional similarity, achieving efficient edge inference without sacrificing quality.
AgentX can autonomously iterate on recommendation algorithms, outpacing human-driven processes and fundamentally changing how we approach system development.
Generating personalized videos on demand can boost ad revenue by nearly 2% in high-traffic environments, transforming traditional recommendation systems.
SearchSwarm reveals that effective delegation in LLMs can significantly boost performance on long-horizon tasks, achieving state-of-the-art results in complex research scenarios.
Asynchronous RL for LLMs doesn't have to sacrifice convergence for speed: DORA achieves 2-4x faster training by cleverly managing multiple policy versions during rollout.
