维基百科链接竞速:高选项数决策演示
让模型在数百到数千个链接中选择下一步,用游戏方式展示决策速度与约束输出的效果。原帖附有 4 分 04 秒视频。

Milvus通过向量检索和元数据过滤获取候选段落,Jev随后判断这些段落是否真正有助于任务,体现其决策型模型在搜索场景中的适配性。
Jev is built to decide, not to chat. That makes it a surprisingly good fit for search. Milvus first retrieves candidate passages with vector search and metadata filters. Jev then looks at those passages and judges whether they actually help with the task. In practice, the flow