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Relying on just the final layer of LLMs can lead to a 6.72% drop in recommendation performance—IMFuse captures the full spectrum of semantic knowledge across layers for superior results.
LLM serving systems can boost Time-To-First-Token (TTFT) attainment by up to 2.4x simply by prioritizing network flows based on a novel approximation of Least-Laxity-First scheduling.
