Unverified50% confidenceFactExact time
语义化版本号（SemVer，如2.1.3）通过主版本号、次版本号和修订号传达变更影响程度，但难以直接应用于大语言模型，因为模型行为变化是连续而非离散的
1
Sources
50%
Confidence
Long-term
Relevance
8/28/2026
First Seen
Sources
Related Entities
Related Claims
Unverified当底层大语言模型进行版本更新时，即使提示词不变，输出分布也可能发生变化76% similarUnverifiedLarge 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.69% similarUnverified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68% similarUnverifiedIn hands-on subtitle translation testing, translation quality varied considerably across different models on Liaobots, and as it provides no additional Agent orchestration layer, the barrier to entry for new users is relatively high68% similarUnverifiedFunction Calling缺乏统一标准，不同模型提供商的接口和格式存在差异，切换模型供应商时代码往往需要大幅调整67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/813594API
curl https://kongchang.com/api/v1/knowledge/claims/813594MCP
get_claim(id=813594)