Unverified50% confidenceFactExact time
Embedding models are only responsible for representation, have fewer parameters, low inference cost, and do not depend on prompt engineering.
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50%
Confidence
Long-term
Relevance
10/29/2026
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Related Claims
UnverifiedSmaller models can handle fewer instructions than larger models, and non-reasoning models can handle fewer instructions than reasoning models.78% similarUnverifiedPrompting provides instructions and examples at inference time, has the lowest cost and fastest iteration, and is suitable for solving problems such as expression style, format constraints, and task boundary specification, but it does not change model weights, so it cannot introduce private knowledge the model does not know, nor can it guarantee real-time capability.77% similarUnverified简单的参数提取、格式转换类任务使用成本较低的小模型即可完成，复杂的测试逻辑推理、异常根因分析才需要调用旗舰模型76% similarUnverifiedThe core logic of a cascade routing strategy is 'never invoke a large model for what a small model can handle,' triggering a higher-cost model only when the small model's output confidence falls below a threshold.76% similarVerifiedIn small-sample scenarios with sufficient feature engineering, simple models often perform no worse than complex ones.76% similar
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