Why do agents need stopping conditions?
Without limits, an agent may repeat ineffective actions or consume unnecessary resources. Stopping conditions define when success, failure, or a request for help should end the loop.
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More FAQs in How did large language models lead to the development of agentic AI?
No. Agents are a much older idea in AI. LLMs introduced a flexible language-based component for interpreting goals and coordinating actions in newer systems.
A plan alone is a description of possible steps. An agentic system executes permitted actions, observes results, and may adapt subsequent steps using those observations.
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