Jim Fan· @DrJimFan · X·· 5 天前精选AI 评分72
AI 导读
Jim Fan 团队开源 Flora 系列模型,用于解析物理世界并把原始视频转成训练信号,称其性能达到 Astra 水平而成本低 125 倍。Flora 已支撑其内部数据引擎,在 500 块 GPU 上每天标注 20 万小时视频,并提供带时间戳的高质量字幕、用于质量控制和 RL 后训练的密集进度奖励,以及面向真实世界基准的评分规则。
推荐理由
Flora 以开源权重形式发布,并给出 125 倍成本差与每日 20 万小时标注量,便于读者判断机器人数据引擎的可用性。
正文 · 原文
We built a robotics data engine with Astra-level performance at 125x lower cost. And we are open-sourcing the weights today! Introducing Flora, a suite of open models to parse the physical world and turn raw footage into rich training signals.
Flora already powers our in-house data engine, labeling 200K hours of videos a day on 500 GPUs. We created it to scale the frontier for robot learning. Now you own the weights too.
Flora gives you:
- High-quality, timestamped captions to curate and filter human egocentric and robot data;
- Dense progress rewards for quality control and RL post-training;
- Rubrics scoring for real-world benchmarking
Try it today, links in thread:
来源:Jim Fan · x.com