Industry-wide solutions from Seed-OSS
The versatility of the model makes it applicable:
- academic research: automatic generation of literature review, analysis of experimental data
- software development: Code completion, debugging suggestions, documentation generation
- business intelligence (BI): Financial report analysis, market forecast automation
- education technology: Personalized Learning Programs, Intelligent Question and Answer System
It has been applied internally to short video content comprehension, cross-border e-commerce customer service and other scenarios by ByteDance, handling more than 10 million requests per day. The agent task function of the model is particularly suitable for building automated workflow systems.
This answer comes from the articleSeed-OSS: Open Source Large Language Model for Long Context Reasoning and Versatile ApplicationsThe
May not be reproduced without permission:AI productivity tools " Seed-OSS application scenarios cover a wide range of fields from academic research to enterprise services.
