How do you ensure deterministic behavior in probabilistic LLM systems?

Determinism is achieved by fixing model versions, setting temperature to zero, controlling sampling, and stabilizing retrieval inputs.

LLMs are inherently stochastic due to sampling. To achieve deterministic behavior, production systems fix model versions, disable randomness (temperature=0), use greedy decoding, stabilize retrieval outputs, and cache intermediate results. However, full determinism is still difficult due to backend nondeterminism.