How Diffusion-Based LLM AI Speeds Up Reasoning

Diffusion-based large language models (LLMs) are emerging as more efficient alternatives to autoregressive models for text generation. Renmin University's LLaDA uses dynamic masking to predict multiple tokens simultaneously in a bidirectional manner, offering better performance in complex reasoning tasks compared to current Show more