Unverified50% confidenceCautionExact time
切换不同LLM时需针对性测试，因为不同模型在提示词格式、上下文窗口长度、函数调用协议及结构化输出能力上存在差异
1
Sources
50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
UnverifiedDifferent LLM models vary in their accuracy of understanding instructions; it is recommended to iteratively optimize prompts multiple times to achieve the best results.79% similarUnverifiedLLM网关面临泄漏抽象问题，模型能力的本质差异会泄漏到上层，如system prompt格式、temperature参数语义、function calling调用规范差异74% similarUnverified不同大语言模型因训练数据分布、RLHF偏好对齐策略和模型架构差异，在同一问题上呈现风格迥异的回应倾向70% similar
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