Unverified50% confidenceFactExact time
Decision-model tasks usually refer to tasks with a limited and discrete output space, such as classification, intent recognition, routing and dispatching, and entity extraction.
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50%
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Long-term
Relevance
10/28/2026
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Related Claims
UnverifiedSelection rule: use workflows for tasks with fixed paths, and use agents for tasks whose paths the model must decide on the spot.76% similarVerifiedA model routing layer can dynamically assign requests based on task complexity and service load, using lightweight models for simple tasks and invoking flagship models for complex tasks when capacity is sufficient.74% similarUnverifiedIn agent execution, the basis for task decomposition comes from the prompt, including the user's basic situation, the current environment, and the target state.72% similarUnverifiedPlanning refers to an Agent breaking down a big goal into an executable sequence of subtasks, with common approaches including task decomposition, prioritization, and dynamic replanning; the memory mechanism allows an Agent to maintain contextual coherence across multiple turns of interaction, with short-term memory usually being the conversation history and long-term memory relying on external storage such as vector databases.72% similarUnverifiedPlan mode is a human-machine collaboration paradigm that includes steps such as requirement parsing, task decomposition, dependency identification and risk checking, allows the AI to ask the user clarifying questions when information is insufficient, and embodies the "human-in-the-loop" interaction principle.72% similar
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