这对应了阿里新逻辑，要保住电商基本盘市场份额，对抗年轻力量；又必须在AI，这个高大上的赛道证明自己“充满想象力”。
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In conclusion, we designed and implemented a complete uncertainty-aware reasoning pipeline for large language models using Python and the OpenAI API. We demonstrated how models can verbalize confidence, perform internal self-evaluation, and automatically conduct research when uncertainty is detected. This approach improves reliability by enabling the system to acknowledge knowledge gaps and augment its answers with external evidence when needed. By integrating these components into a unified workflow, we showed how developers can build AI systems that are intelligent, calibrated, transparent, and adaptive, making them far more suitable for real-world decision-support applications.