DFlash Accelerates LLM Inference with Block Diffusion Speculative Decoding

DFlash introduces an exciting new approach to speculative decoding by leveraging block diffusion techniques, potentially revolutionizing Inference speeds for Large Language Models (LLM). This project highlights the vibrant innovation occurring in the Open Source community, offering developers new tools to optimize latency and performance. It represents a significant step forward in making high-performance AI more accessible and efficient for local deployments.