Generalist AI’s GEN-1.5 robot model learns tasks from one demo
The GEN-1.5 robot model from Generalist AI learns new physical tasks from one demo, without gradient updates.
The company describes GEN-1.5 as the first model it knows of to show one-shot and few-shot learning of physical skills at scale. That claim points at a specific trade-off: whether teaching a machine a new job still requires weeks of task-specific programming, or whether it can now be shown once and left to work out the rest.
Success rates on the tasks it tested are modest, and the tasks themselves are short and simple. Generalist AI nonetheless argues the pattern, learning from a handful of seconds of data with no training step, has not previously been demonstrated across such a range of physical tasks.
How physical prompting works
Generalist AI built GEN-1.5 as a large multimodal model that processes video input alongside other sensor, language, and proprioceptive data, and produces action trajectories at...
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