Seed Diffusion - the newest diffusion language model from ByteHopper

What is Seed Diffusion?

Seed Diffusion is an experimental diffusion language model introduced by ByteDance that can handle code generation tasks. The model is based on two-stage diffusion training, constrained sequential learning, and enhanced efficient parallel decoding, which significantly improves the inference speed to 2,146 tokens/s, which is 5.4 times faster than an autoregressive model of the same size. The model performs well in several code benchmark tests, especially outperforming traditional models on code editing tasks. The model can rapidly generate code prototypes, optimize code quality, and assist in programming instruction, demonstrating the great potential of discrete diffusion models in the field of code generation.

Key Features of Seed Diffusion

• Quick code generation: Extremely fast inference, 5.4 times faster than an autoregressive model of the same size, which can quickly output code snippets and dramatically improve development efficiency.
• Generate high-quality code: The generated code is of high quality and performs well in several code benchmarks, outperforming traditional autoregressive models especially on code editing tasks.
• Fix code logic errors: Based on two-stage diffusion training, it supports understanding code logic and fixing errors to improve code accuracy and stability.
• Flexible handling of code dependencies: Introducing a structured prior to better handle causal dependencies in code and generate more logical code.

Seed Diffusion's official website address

• Project website:: https://seed.bytedance.com/zh/seed_diffusion
• Technical Papers:: https://lf3-static.bytednsdoc.com/obj/eden-cn/hyvsmeh7uhobf/sdiff_updated.pdf
• Online Experience Demo:: https://studio.seed.ai/exp/seed_diffusion/

How to use Seed Diffusion

• Access to the Experience Platform: Visit Seed Diffusion online to experience the Demo site.
• input requirement: Enter code hints or editing requirements in the page.
• Generate Code: Click the Generate button to view the generated or optimized code.

Seed Diffusion's Core Benefits

• Efficient Reasoning Speed: Seed Diffusion inference is up to 2,146 tokens/s, which is 5.4 times faster than autoregressive models of the same size and significantly improves development efficiency.
• High quality code generation: excels in code benchmarking, outperforms autoregressive models on code editing tasks, and generates high-quality code.
• Flexible generation order: Introducing a code structuring a priori that handles causal dependencies and generates code that is more consistent with programming conventions.
• Powerful code fixes: Through insertion/deletion operations in the editing phase, the model can automatically detect and fix code errors to improve code accuracy.
• Wide range of application scenariosIt can be used in a variety of development scenarios such as automatic code generation, editorial optimization, educational assistance, team collaboration, and integration into IDEs.
• technological innovation: Improving model performance based on techniques such as two-stage diffusion training, same-strategy learning and block-level parallel diffusion sampling.

Who Seed Diffusion is for

• software developer: Developers quickly generate code prototypes, optimize code performance, or fix code bugs.
• Programming learners: Beginners understand programming concepts and logic better by generating sample code.
• educator: Used in programming instruction to assist in generating instructional materials or sample code.
• development team: As a code completion and optimization tool in team collaboration to improve overall development efficiency.
• Technical researchers: Interested in diffusion modeling or code generation techniques and would like to explore their performance in practical applications.