Unverified50% confidenceFactExact time
The key difference between an agent and large-model question answering lies in autonomy: it can not only answer questions but also plan steps according to goals, call tools (such as search, calculation, APIs), observe results and adjust the next action.
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10/18/2026
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Related Claims
UnverifiedLarge language models can only answer questions and cannot proactively initiate system calls or network requests, whereas agents can perceive needs, determine a course of action, and execute operations to complete end-to-end tasks.79% similarVerifiedThe biggest difference between agents and traditional programs lies in their autonomy and goal-directedness.78% similarVerifiedAssigning each agent a dedicated capability boundary and prompt often outperforms having a single model handle everything, a principle that is connected to the effectiveness of chain-of-thought prompting.77% similarUnverifiedA truly autonomous agent is a system capable of independently completing the full closed loop of "goal → reasoning → tool invocation → observation → decision → further tool invocation → output," with no human intervention required after each step.76% similarUnverifiedWhen judging on-device agent models, agent-specific benchmarks (such as LiveClaw) better reflect real usability than general question-answering leaderboards.73% similar
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