📄 中文摘要
生成性人工智能因其在相同提示下的不同响应而被认为是非确定性的。这种特性既令人着迷，因为它在某种意义上展现了创造力，又带来了问题，因为在需要精确和可预测性的场景中，它使我们失去控制。要理解非确定性，需借助计算理论的概念。非确定性在生成性人工智能的处理过程中扮演着重要角色，影响着其输出的多样性和不可预测性。
生成性人工智能与非确定性
出处: Generative AI and Non-Determinism
发布: 2026年3月31日
📄 English Summary
Generative AI and Non-Determinism
Generative AI is often described as non-deterministic due to its varying responses to the same prompt. This characteristic is intriguing as it reflects a form of creativity, but it also poses challenges in contexts where precision and predictability are crucial. Understanding non-determinism requires a look into the theory of computation. Non-determinism plays a significant role in the processing of generative AI, affecting the diversity and unpredictability of its outputs.