Jian Chen, Yesheng Liang, Zhijian Liu
DFlash is a speculative decoding framework that uses block diffusion for parallel drafting, achieving over 6x acceleration in language model inference compared to traditional methods.
Large language models are powerful but slow because they process text one word at a time, which doesn't use computer resources efficiently. DFlash is a new method that speeds up this process by using a technique called block diffusion, which allows the model to generate text in parallel rather than sequentially. This means it can produce text much faster without losing quality. Tests show that DFlash can make the process more than six times faster than current methods, making it a significant advancement in the field.
