The project implements a parallel decoding algorithm for language model inference that breaks sequential dependency by using lookahead verification. Based on Jacobi iteration methods, it decodes multiple tokens simultaneously by predicting and verifying n-grams in parallel. The approach achieves wall-clock speedups on LLaMA-2-Chat 7B generation and supports integration with FlashAttention and sampling techniques.