Evaluate Your RAG System Performance: Giskard

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  • Опубликовано: 30 янв 2025

Комментарии • 11

  • @SridharKumarKannam
    @SridharKumarKannam  6 месяцев назад

    If you found this content useful, pleases consider sharing it with others who might benefit. Your support is greatly appreciated :)

  • @Jerry-k8b8r
    @Jerry-k8b8r 23 дня назад

    The Code is missing. Can you please share the code again?

  • @pramodpatil1609
    @pramodpatil1609 5 месяцев назад

    Can we use llama3 for generating test dataset along with as a judge Because i have faced the issue while using llama3

    • @SridharKumarKannam
      @SridharKumarKannam  5 месяцев назад

      Yes, we can use any llm. Llama3 worked for me. Whats the issue?

    • @pramodpatil1609
      @pramodpatil1609 5 месяцев назад

      @@SridharKumarKannam issue is Lets Suppose I have provide 10 pdf and create knowledge base and try to create 60 question sets so it wil through error after creating 10 12 question like invalid Json formate by llm like that

    • @SridharKumarKannam
      @SridharKumarKannam  5 месяцев назад

      @@pramodpatil1609 use try catch. The output format from llms is esp the smaller models is not always as expected.

  • @sangram7153
    @sangram7153 4 месяца назад

    can we use our own created test data instead of generating it with Giskard?

  • @sangram7153
    @sangram7153 4 месяца назад

    please share the code as well