Expired50% confidenceFactExact time
At Temperature=0, greedy decoding is used, but due to the non-determinism of GPU floating-point operations (FP16/BF16 precision), completely consistent output still cannot be guaranteed in actual engineering.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Hermes Agent Deep Dive: A Self-Evolving Agent Architecture with Practical Implementation Guide
bilibili九天Hector课程拆解6/10/2026
Related Claims
VerifiedEven when Temperature is set to 0 (greedy decoding), the order of parallel floating-point operations on modern GPUs can still lead to minor differences in results.77% similarUnverifiedTemperature=0（贪心采样）也不能保证模型输出的确定性，至少有三个原因：浮点运算非结合性、MoE路由不确定性、服务端配置漂移70% similarVerifiedEven when the temperature is set to 0, some inference frameworks still have non-determinism in underlying floating-point computations, causing output differences across hardware and across batches.68% similarVerifiedThe non-determinism of large language models stems from their autoregressive sampling process; even with temperature set to 0, differences in inference frameworks, batch sizes, and hardware floating-point operations can all cause output drift.66% similarUnverifiedEven when temperature is set to 0, some models still exhibit slight output fluctuations due to floating-point errors in parallel computation.66% similar
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