新闻
Intern-S2-Preview: Scientific Agentic Foundation Model
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Intern-S2-Preview is a 397-billion-parameter foundation model designed for scientific reasoning across multiple modalities with agentic capabilities for long-horizon tasks.
- 为何重要
- Relevant for engineers building scientific AI systems, working with multimodal data, or implementing reinforcement learning for complex reasoning workflows.
- 注意
- This is a preprint submission with no independent verification yet. Real-world performance on actual scientific discovery tasks remains undemonstrated beyond benchmark evaluations.
收听本摘要
- agent
- agentic
- foundation model
- reasoning
- long-horizon
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