One theory is it is caused by its Sparse MoE (Mixture of Experts) architecture [1]: > The GPT-4 API is hosted with a backend that does batched inference. Altho

One theory is it is caused by its Sparse MoE (Mixture of Experts) architecture [1]: > The GPT-4 API is hosted with a backend that does batched inference. Although some of the randomness may be explained by other factors, the vast majority of non-determinism in the API is explainable by its Sparse MoE architecture failing to enforce per-sequence determinism. [1] https://152334h.github.io/blog/non-determinism-in-gpt-4/ https://152334h.github.io/blog/non-determinism-in-gpt-4/