协作头脑风暴
brainstorming
在实现前澄清需求、探索设计选择,并形成清晰的开发方向。
video-rts-reinforcement-learning-test-time-scaling【开发与工程】Train video QA models on 6K examples using pure RL instead of costly supervised fine-tuning, then adaptively sample video frames at inference by monitoring answer consensus across multiple reasoning trajectories.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准