Unverified50% confidenceOpinionExact time
Transparent output may refer to the model providing explainable and traceable results during inference, such as displaying reasoning chains, source annotations, or structured output formats.
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Long-term
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9/23/2026
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Unverified内在可解释性指模型结构本身的透明性,事后可解释性则是对不透明模型施加外部解释技术如SHAP、LIME72% similarUnverifiedA reasoning stream refers to the model's output of its thinking process before giving a final answer, which is returned incrementally (as deltas) during streaming and is typically interleaved with tool calls.68% similarUnverifiedTool 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.68% similarUnverifiedExplainability focuses on helping users understand why a model produced a certain result, while traceability concerns where the result came from — the two are related but distinct concepts.68% similarUnverifiedAn inference pipeline refers to the complete data processing chain that, after model training, receives input data in a production environment, performs preprocessing, model inference, and post-processing, and returns results.67% similar
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