英国由 Yann LeCun 担任顾问的初创企业 Worldmodeldata 拟将海量游戏玩家操作及画面数据转化为世界模型训练数据集,破解当前世界模型因果类训练数据不足的行业瓶颈,支撑AI掌握物理环境交互能力,目前其已获得近 100 万小时游戏数据授权。
- 世界模型 当前缺乏可用的因果配对类训练数据集
- Worldmodeldata 已获近 100 万小时游戏相关数据授权
- 游戏训练数据 可覆盖现实场景所需的各类边缘案例
- 行业共识 世界模型性能随数据集规模同步提升
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英国由 Yann LeCun 担任顾问的初创企业 Worldmodeldata 拟将海量游戏玩家操作及画面数据转化为世界模型训练数据集,破解当前世界模型因果类训练数据不足的行业瓶颈,支撑AI掌握物理环境交互能力,目前其已获得近 100 万小时游戏数据授权。
- 世界模型 当前缺乏可用的因果配对类训练数据集
- Worldmodeldata 已获近 100 万小时游戏相关数据授权
- 游戏训练数据 可覆盖现实场景所需的各类边缘案例
- 行业共识 世界模型性能随数据集规模同步提升
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逛逛 Pop ↗还没有评论,来分享第一个想法吧。