Transformers in Pseudo-Random Number Generation: A Dual Perspective on Theory and Practice

Ran Li, Lingshu Zeng

Pseudo-random number generators (PRNGs) are high-nonlinear processes, and they are key blocks in optimization of Large language models. Transformers excel at processing complex non…