Agents as loops refers to AI architectures where autonomous agents operate in continuous feedback cycles, iterating over tasks like observation, reasoning, and action. This design enables adaptive decision-making in dynamic environments. Developers and data scientists benefit by building resilient systems for automation, robotics, or real-time analytics, improving efficiency without manual intervention.
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