Generalist AI发布了GEN-1.5，一个机器人基础模型，只需3-12秒的演示就能学习新任务，比以往模型更高效。
Generalist AI发布GEN-1.5，一个机器人基础模型，可以从单个演示中学习新的物理任务。只需将3-12秒的传感器运动数据输入其30秒的上下文窗口，机器人即可执行任务。无需梯度更新、微调或特定任务编程。在10个不同的操作任务中，这种一次性上下文提示的平均准确率为59%
Generalist AI Releases GEN-1.5: A Robot Foundation Model That Learns New Tasks From One 3–12 Second Demo
Generalist AI has released GEN-1.5, a robot foundation model that learns a new physical task from a single demonstration. Drop 3–12 seconds of sensorimotor data into its 30-second context window, and the robot performs the task. No gradient updates, no fine-tuning, no task-specific programming. Across 10 diverse manipulation tasks, this one-shot in-context prompting averaged 59% […] The post Generalist AI Releases GEN-1.5: A Robot Foundation Model That Learns New Tasks From One 3–12 Second Demo appeared first on MarkTechPost .