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Achieve state-of-the-art medical image segmentation accuracy with a linear-time transformer decoder that overcomes the limitations of standard linear attention by subtracting complementary attention paths to amplify relevant context.
Find more race conditions, faster and with less memory, by focusing on "short races" within a sliding window of events.
SuperInfer unlocks the potential of superchips for LLM serving by proactively rotating requests to meet stringent latency SLOs, achieving up to 74.7% improvement in Time-To-First-Token attainment.
