Seed Diffusion is an experimental language model jointly launched by the ByteDance Seed team and the Academy of Intelligent Industry Research (AIR) at Tsinghua University. The model adopts discrete diffusion technology as its core architecture and aims to explore the possibilities of the next generation of language models. Its technology demonstration platform provides an intuitive interactive experience, and the model focuses on verifying the effectiveness of its application in the code generation domain.
Unlike traditional autoregressive models, Seed Diffusion utilizes a parallel generation mechanism to gradually refine from a fuzzy draft to a complete result, an innovative approach that enables it to achieve a major breakthrough in inference speed. The introduction of this model provides new technical ideas for dealing with complex structured inference problems.
This answer comes from the articleSeed Diffusion: Validating High-Speed Language Models for Next-Generation ArchitecturesThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil