Unverified50% confidenceFactExact time
FrugalGPT(Chen et al., 2023)和LLM-Blender等框架试图通过训练专用路由分类器来平衡准确性与开销
1
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50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
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Unverified当前主流 LLM 采用指令遵循(Instruction Following)训练方式,会用概率最高的方式补全输出72% similarUnverifiedTraining hundred-billion-parameter models such as GPT-3 requires scheduling strategies such as learning rate warmup and cosine annealing, as well as engineering techniques such as mixed-precision training and gradient accumulation.70% similar
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