Unverified50% confidenceFactExact time
大模型本质是问答类型且一般没有记忆能力，而Agent不仅能问答，还能联网搜索、操作图片、识别本地资料、追踪多轮上下文
1
Sources
50%
Confidence
Long-term
Relevance
8/18/2026
First Seen
Sources
Related Claims
UnverifiedA large model itself is not equivalent to an Agent; an Agent can orchestrate multiple large models and multiple tools to work collaboratively.74% similarUnverifiedAgents possess capabilities for planning, tool invocation, memory, and autonomous iteration, distinguishing them from the single-round question-and-answer mode of traditional large language models.73% similarUnverifiedUnlike traditional question-answering large language models, Agents possess autonomous loop capabilities, enabling them to proactively call tools, access external data, decompose complex tasks, and iterate continuously until goals are achieved.73% similarUnverifiedTraditional large model interaction follows a 'question-and-answer' pattern, while Agents can autonomously plan, invoke tools, and continuously execute complex tasks.72% similarUnverifiedAgent tasks require models to have precise instruction-following ability compared to regular conversation tasks.68% similar
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