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Characterizing the Accuracy - Efficiency Trade-off of Low-rank Decomposition in Language Models
The results show that low-rank decomposition can be a promising direction for LLM-based applications that require real-time service in scale (e. g., AI agent assist and real-time coding assistant), where the latency is as important as the model accuracy.
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