LLAMA2 with Langchain Integration and its Use-cases Tutorial | LLMs | Karndeep Singh

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  • Опубликовано: 24 окт 2024

Комментарии • 7

  • @LearningWorldChatGPT
    @LearningWorldChatGPT Год назад

    Wonderful tutorial !
    Thank you very much !

  • @lokendrayadav-f3g
    @lokendrayadav-f3g Год назад

    Nice work, keep going bro

  • @VenkatesanVenkat-fd4hg
    @VenkatesanVenkat-fd4hg Год назад

    Superr video, waiting for fine tuning llama2 video, if possible...

  • @abhishekfnu7455
    @abhishekfnu7455 7 месяцев назад

    Is it possible to employ a Data Dictionary for training an LLM model to subsequently generate SQL queries? I have restricted access to my client's database with read-only permissions, and I am instructed not to modify the names of Database Tables and Columns. Currently, I am utilizing the LLAMA2 model alongside Langchain Libraries. Are there any GitHub repositories accessible for converting SQL data into a ChatBot? The majority of videos I've come across on RUclips consistently utilize PDFs, CSV files, or custom-made SQL tables, employing nearly identical techniques. I've been struggling with this for weeks, and any assistance would be greatly appreciated.

  • @shd-t6t
    @shd-t6t Год назад

    Thanks for the information. Can you please make a video on all kinds of llama 2 models mentioned on TheBloke's account on huggingface. I downloaded a binary file of one of the models but couldn't understand how to use it. A detailed video with that information will be much appreciated. Thanks.

    • @karndeepsingh
      @karndeepsingh  Год назад

      Sure. I will try to explain the different variants of model available like GPTQ, GGML etc