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      Evaluating RAG and Semantic Search Systems

      , Senior Data Scientist, NVIDIA
      As adoption of LLMs and retrieval-augmented generation (RAG) becomes more prevalent in enterprise, the demand for robust evaluation arises, ensuring these new tools meet the high regulatory standards of various industries. Gain an in-depth understanding of the unique requirements as well as practical tools to robustly evaluate such systems addressing the complex nature of the underlying data. We'll introduce evaluation techniques addressing domain-specific language and knowledge, specific evaluation metrics, and independent assessment of the retrieval and generation steps, all while taking temporal information into account.
      Prerequisite(s):

      Python.
      Basic knowledge of LLMs and RAG.
      活动: GTC 25
      日期: March 2025
      行业: 所有行业
      级别: 通用
      话题: Generative AI - Retrieval-Augmented Generation (RAG)
      NVIDIA 技术: NVIDIA NIM
      语言: 英语
      所在地: