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    Re-Imagine Service Assurance Chatbots With LLMs and RAG

    , CTO of Communications, Media & Information Services, Tata Consultancy Services
    , Consulting Partner, CMI Global CTO Office, Tata Consultancy Services (TCS)
    Traditional service assurance chatbots primarily work using keyword searches on article knowledge bases. This method introduces inefficiencies with respect to the semantic relevancy of retrieved information, which leads to dissatisfied customers and increased help desk call transfers. We’ll explore how retrieval augmented generation (RAG)-powered chatbots can go beyond simple lexical article retrieval to engage customers with dynamic conversations based on data from multiple knowledge sources like customer history and enterprise data. We’ll present insights and learnings from our service assurance chatbot pilot. We’ll discuss our RAG design and how it’s used to understand customer needs and drive improved business outcomes.
    活动: GTC 24
    日期: March 2024
    行业: 所有行业
    话题: 生成式 AI 平台
    级别: 中级技术
    NVIDIA 技术: NeMo
    语言: 英语
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