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About ByteDance Seed
The ByteDance Seed team is a world-class AI research division dedicated to pushing the boundaries of general intelligence. They focus on creating foundational models that can understand and interact with the physical and digital worlds through vision, speech, and reasoning. Their work powers a wide range of popular applications including Doubao, Coze, and Jimeng, serving millions of users globally.
The Seed series of models, including the latest Seed2.0, are designed to handle complex, long-horizon tasks that require multi-step reasoning and interaction with graphical user interfaces (GUI). These models excel at multimodal understanding, allowing them to parse intricate documents, videos, and scientific data with high precision. The team also contributes significantly to the open-source community through projects like VeOmni and Seed1.5-VL.
Beyond software, the Seed team explores the intersection of AI and the physical world through robotics research and 'AI for Science'. This includes developing generalist robot models like GR-3 and collaborating on battery R&D. Their goal is to create high-efficiency, low-latency AI systems that provide significant economic and societal value through autonomous learning and execution.
Key Features
- Generalized Agentic Models (Seed2.0) for executing complex real-world tasks.,
- Multimodal Vision-Language capabilities for parsing documents and video.,
- Low-latency inference with optimized token consumption for large-scale use.,
- Seed3D for generating high-fidelity 3D models from single images.,
- Specialized models for mathematical reasoning and formal verification (Seed Prover).,
- Robotics frameworks (GR-3, GR-RL) for long-horizon dexterous manipulation.,
- Open-source contributions of model weights and training recipes on GitHub.
Use Cases
- Developers building autonomous agents that can navigate and interact with web GUIs.,
- Scientists using AI labs for high-throughput battery R&D and material science.,
- Engineers deploying low-cost, high-performance LLMs for enterprise applications.,
- Researchers leveraging SOTA multimodal models for complex data and video analysis.,
- Manufacturers utilizing robotics models for precise, multi-step physical tasks.
How to Use
- Access Seed models through ByteDance's commercial platforms like Volcengine or Coze.,
- Integrate Seed APIs into your applications for multimodal reasoning or agentic workflows.,
- Explore and contribute to Seed's open-source repositories on GitHub for research purposes.
Pros
- State-of-the-art performance across global benchmarks in vision and text.,
- Significantly lower inference costs compared to other leading LLMs.,
- Broad application across software, robotics, and scientific research.
Cons
- Primarily a research and API provider rather than a standalone consumer tool.,
- Access to certain frontier models may be restricted to enterprise partners.
Support & Contact
📧 Support Email
seed.feedback@bytedance.com🌐 Social Media
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