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Plurai wants to help AI agents work better using the same approach that helped get self-driving cars to roads
Plurai sees a parallel between autonomous driving models and AI agents in unpredictable environments.
Like the end-to-end models trained to drive cars, AI agents are probabilistic systems operating in unpredictable environments.
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AI agents and self-driving cars both operate amid unpredictable conditions, making approaches developed for autonomous driving relevant to agent development. Plurai’s proposal points to a way of tackling the reliability challenges that come with probabilistic systems.
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