Reka AI 发布 19B 参数全模态模型 Rho-1，覆盖文本图像视频与机器人控制
Reka AI's omni-model Rho-1 handles text, images, video, and robot control in a single model
Reka AI 用 320 块 H100 三个月训出 19B 的 Rho-1，文本图像视频加机器人控制一个模型全包，算力开销比主流大模型小得多。
Reka AI 推出 190 亿参数的全模态模型 Rho-1，可在一个神经网络内处理和生成文本、图像、视频以及机器人控制动作。该模型用 320 块 H100 GPU 训练约三个月完成，算力消耗远低于当前头部模型。Rho-1 不将任务分发给专门系统，而是把所有模态作为 token 放进同一个共享上下文窗口中运行。
Reka AI's omni-model Rho-1 handles text, images, video, and robot control in a single model
Reka AI's Rho-1 is a 19-billion-parameter omni-model that processes and generates text, images, video, and robot control actions in a single neural network. Trained on 320 H100 GPUs in about three months, it uses a fraction of the compute today's top models need. Instead of routing tasks to specialized systems, Rho-1 runs all modalities as tokens in one shared context window. The article Reka AI's omni-model Rho-1 handles text, images, video, and robot control in a single model appeared first on The Decoder .
