Large Behavior Models Surpass Large Language Models To Create AI That Walks And Talks
SMRTR summary
Large behavior models (LBMs) combine large language models with behavior-oriented capabilities, enabling robots to learn tasks through observation and interaction. This technology allows for more natural robot programming using everyday language and multi-modal data. While LBMs offer exciting possibilities for adaptable and capable robots, careful development is needed to address potential safety and ethical concerns as AI gains the ability to physically interact with the world.
SMRTR provides this summary for quick context. The original article belongs to Forbes.
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