Unverified50% confidenceFactExact time
大语言模型本质上是概率性的，相同的输入可能产生不同的输出，这与传统软件的确定性行为截然不同
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
UnverifiedLarge language models have inherent non-determinism — even with identical prompt inputs, the model may return results that differ in format, content, or even logic at different times.84% similarUnverifiedDue to the stochastic nature of large language model outputs, it is difficult for ordinary users to determine the underlying model version from a single conversation.78% similarVerifiedCurrent large language models exhibit a pattern in the systems programming domain of being strong on high-frequency knowledge and weak on long-tail knowledge, tending to make reasonable inferences rather than strictly following specifications for edge-case semantics and version-specific compatibility behavior.77% similarVerifiedLarge language models are essentially probabilistic text generation systems, lacking the ability to verify external systems in real time, and produce hallucinations when input documents are ambiguous or incomplete.76% similarUnverifiedLarge language models are fundamentally probabilistic and cannot guarantee 100% output correctness.75% similar
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