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uniopen 基于 Amazon Nova 2 Lite 定制零售内容审核策略并落地生产
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2026-10-01,AWS Machine Learning Blog 报道 uniopen 基于 Amazon Nova 2 Lite,通过 Amazon SageMaker AI 进行监督微调与提示层输出优化,适配其零售审核策略。基线模型 Per Behavior Macro F1 为 0.5852,微调后在 737 个对话窗口的测试集上评估,并通过硬门控与软门控控制候选模型上线。
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Oct 1, 2026
- AWS Machine Learning Bloguniopen 如何定制 Amazon Nova 2 Lite 以适配零售审核策略并投入生产部署
uniopen 基于 Amazon Nova 2 Lite,通过 Amazon SageMaker AI 监督微调与提示层输出优化,适配其零售审核策略。基线模型 Per Behavior Macro F1 为 0.5852,微调后在 737 个对话窗口的测试集上评估,并通过硬门控与软门控控制候选模型上线。
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