Unverified50% confidenceFactExact time
Asynchronous tool calls allow the model to continue processing other logic while waiting for a tool to return results, without blocking the entire inference pipeline.
1
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50%
Confidence
Long-term
Relevance
9/28/2026
First Seen
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Related Claims
VerifiedTool calling allows models to dynamically invoke external functions during inference and incorporate execution results into the context of subsequent reasoning, forming a closed loop of perception, decision-making, and execution.80% similarUnverifiedWhen parsing model output, the parsing logic should be wrapped with try...except, and an empty list should be returned if parsing fails, to ensure the program does not crash.79% similarUnverifiedThe thin adapter layer strategy keeps core task logic unchanged and only adjusts the interface portion that interacts with the model, designing pre-prompts or post-processing logic tailored to the reasoning characteristics of different models.79% similarVerifiedChain-of-Thought（思维链）提示技术通过强制模型先输出中间步骤来部分缓解自回归模型在逻辑推理中的缺陷76% similarUnverifiedThe auxiliary model serves only as a front-end acceleration tool and does not replace the main model in core decision-making; the main model's original response style, semantic logic, and knowledge accuracy remain in their native state.76% similar
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