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How to optimize LKE's search experience for on-premises knowledge bases?
Frequently Asked QuestionsEmployees searching for internal documents often fail to retrieve them due to differences in presentation.LKE's multidimensional optimization solution significantly improves this problem. Improvement MethodsSynonyms...
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How can educational institutions apply LKE to enable personalized learning path recommendations?
Requirement ScenarioTraditional educational institutions have difficulty in providing dynamic learning advice to learners.LKE's workflow feature can generate personalized plans by combining learners' test records and knowledge graphs....
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How can I use LKE's RAG feature to prevent factual errors in financial industry quizzes?
Risk AnalysisRegulatory policies and product terms in the financial sector are frequently updated, and relying solely on large models is prone to factual illusions.LKE's RAG (Retrieval Augmented Generation) mechanism...
08-30 1.5 K0kudos
How to optimize e-commerce customer service response efficiency with LKE's Agent feature?
Issue BackgroundThe surge in customer service inquiries during e-commerce promotions has led to significant problems with manual response speed and quality.LKE's Agent intelligences enable 7×24 hour automated...
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How to use Tencent Cloud LKE to solve the challenges of decentralized enterprise knowledge management?
Background and Pain Point AnalysisEnterprise knowledge is usually dispersed across multiple systems, documents and employees' minds, resulting in inefficient information retrieval. Tencent Cloud LKE centralizes knowledge management...
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LKE's Multi-Round Dialogue Rewriting Optimizes Continuous Interaction Experience
The QueryRewrite module of LKE, a context-aware intelligent interaction system, employs an attention mechanism and dialog state tracking technology to effectively handle three types of canonical...
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DeepSeek-R1 Demonstrates Excellent Mathematical Reasoning on the LKE Platform
Technical Performance Validation of Professional Models Based on the test set of mathematical problems provided in the text, DeepSeek-R1 performs well in the LKE environment: for problems involving speed...
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LKE's Low-Code Features Enable Non-Technical People to Build Complex Intelligent Applications
Visual Configuration of Technology Democratization Practices Tencent Cloud LKE achieves low-code goals through four core designs: 1) Drag-and-drop workflow editor, 2) Pre-configured 20 line...
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LKE's RAG Application Support Significantly Improves Professional Accuracy of Large Model Answers
检索增强生成的技术实现路径腾讯云LKE的RAG模块采用双通道检索机制：基于BM25算法处理关键字匹配，结合稠密...
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Tencent Cloud LKE is an intelligent application building platform that integrates big language models and enterprise data
腾讯云LKE的核心定位与架构腾讯云大模型知识引擎（LKE）本质上是一个将先进的大语言模型能力与企业私有数据相结...
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What are the unique advantages of Tencent Cloud LKE compared to similar products?
相比其他AI知识管理平台，腾讯云LKE具有以下独特优势：腾讯生态整合：深度对接腾讯云基础设施，享受完整的云计算...
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How do I ensure the accuracy and completeness of my knowledge quizzes when using the LKE platform?
为确保LKE平台知识问答的准确性和完整性，可以采取以下措施：优化知识源质量：上传前检查文档内容，避免使用模糊的...
08-30 1.5 K0kudos
LKE的Agent智能体功能可以实现哪些企业场景的自动化？
LKE的Agent智能体功能可以应用于多个企业自动化场景，主要包括：客户服务自动化：如自动回复常见客户咨询，处...
08-30 1.5 K0kudos
LKE平台的DeepSeek-R1模型有哪些特点？为什么适合企业使用？
腾讯云LKE平台的DeepSeek-R1模型具有以下突出特点：稳定性高：平台提供的模型版本经过优化，日常使用体...
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如何使用腾讯云LKE创建一个知识问答应用？
使用腾讯云LKE创建知识问答应用主要分为以下步骤：注册登录：先访问腾讯云官网注册账号，然后进入LKE控制台创建...
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什么是腾讯云LKE（大模型知识引擎），它的主要功能是什么？
腾讯云LKE（大模型知识引擎）是腾讯云推出的面向企业用户的智能应用构建平台。它融合了大语言模型技术与企业专属数...
08-30 1.4 K0kudos
如何改善AI提取字段的准确率？
提升数据提取精度的技巧提高par_scrape的AI识别准确率可以从三方面入手：模型选择：复杂页面优先选用--...
08-30 1.3 K0kudos
怎样防止反爬虫机制导致的抓取失败？
规避反爬机制的应对策略par_scrape内置多种反反爬解决方案：浏览器仿真：使用--scraper play...
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如何实现电商网站价格监控的自动化方案？
电商价格监控自动化实施指南使用par_scrape构建价格监控系统需要以下步骤：确定抓取目标：通过-f "Pr...
08-30 1.3 K0kudos

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