One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).
Researchers at Everyday Robots are tapping large-scale language models to help robots avoid misconstruing human communications in ways that might trigger inappropriate or even dangerous actions.
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