Unverified50% confidenceOpinionExact time
The effects of traditional configuration parameters are usually deterministic, whereas the impact of prompt wording changes on LLM behavior can be nonlinear and difficult to predict.
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50%
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Long-term
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8/31/2026
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UnverifiedLLM的行为本质上是统计性的，同一输入在不同上下文中可能产生不同输出，使得传统基于规则的WAF难以有效防护72% similarUnverifiedDifferent LLM models vary in their accuracy of understanding instructions; it is recommended to iteratively optimize prompts multiple times to achieve the best results.72% similarUnverifiedLLM生成的每一个词本质上是基于前文语境的条件概率预测，而非基于真实经历或情感状态71% similarVerifiedThe output of LLMs is inherently non-deterministic; even with the same Prompt as input, the model may return results with different formats, content, or even logic at different times.70% similarUnverified模型基于前文预测后文，Prompt中任何一个字的变化都会改变后续生成概率，而标点符号的影响权重较小69% similar
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