Model Distillation in Production: Trade-Offs Between Latency and Accuracy at Scale
生产环境中的模型蒸馏:大规模部署下的延迟与精度权衡
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Large language models now power customer support chatbots, yet their full-size versions often exceed edge-device memory constraints by 300% or more.
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Distillation techniques compress knowledge into smaller student models, but accuracy drops unevenly across domains—legal queries suffer more than restaurant reservations.
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