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定制化解决方案

ner

催收数据抽取（NER 模型）

我们的 NER 模型可以从保险公司数据中抽取私密信息，确保准确、安全的处理，帮助简化并加快催收流程。

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ocr

通过 OCR 采集客户表单信息

OCR（光学字符识别）解决方案可确保企业客户表单上的电脑打印或数字文本内容可识别。系统会抽取信息、检测签名并校验必填文字，确保处理准确完整。

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Grammar

语音转文本结果的语法优化

该项目可根据语法规则整理由语音转文本模型生成的文本，使其更容易理解并符合书面表达标准，在客户服务和呼叫中心运营中更具实用性。

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ner

自由文本特征抽取与评分

NER（命名实体识别）模型可从自由文本中抽取用于分析的特征，辅助未来决策。通过为数据提供详细、准确的洞察，帮助识别重要模式和趋势。

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llm

客户定制化 LLM 开发

为客户开发专属 LLM，提供定制化回答，自动回复用户问题并提升客户服务流程效率。模型针对特定需求进行优化，为用户提供即时且准确的信息。

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Summarization

文本摘要模型

这些模型可对用户和员工输入的大量信息进行摘要，帮助理解海量数据并快速突出关键信息。

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