Hybrid RAG + Fine-Tuning Your Own Dataset Python Project: Easy AI/Chat for your Docs

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  • เผยแพร่เมื่อ 22 ม.ค. 2025

ความคิดเห็น • 21

  • @waynec7395
    @waynec7395 2 หลายเดือนก่อน +1

    You explain these concepts very well. Thank you!

    • @GaoDalie_AI
      @GaoDalie_AI  2 หลายเดือนก่อน

      Thank you for taking the time to watch the video and i appreciate your input

  • @technicalcontrol6026
    @technicalcontrol6026 หลายเดือนก่อน +1

    there is a growing number of technical individuals like myself , flooding to these sites with creative intuition. where as this is explained in great detail, i know nothing at all about coding, and the simpler these models become , coding will be less relevant .. i appreciate what its like when you use technical language within your field of expertise, but i would kindly suggest including a step by step process made even simpler for non coders & those like myself who are finding out about these downloads through your videos.. thank you

    • @GaoDalie_AI
      @GaoDalie_AI  หลายเดือนก่อน

      Thank you for taking the time to watch the video. I always strive to deliver high-quality content. We are like a family here, and my goal is to make AI accessible to everyone. I am happy to contribute to the community.

  • @reserseAI
    @reserseAI 2 หลายเดือนก่อน +1

    Subscribed

    • @GaoDalie_AI
      @GaoDalie_AI  2 หลายเดือนก่อน

      thank you i appreciated

  • @BrunSCM
    @BrunSCM 2 หลายเดือนก่อน +1

    This video was very helpful, thank you so much!

    • @GaoDalie_AI
      @GaoDalie_AI  2 หลายเดือนก่อน +1

      Thank you for taking the time to watch the video. Let's make AI accessible to everyone.

  • @arirajuns
    @arirajuns 2 หลายเดือนก่อน +2

    Thank you for sharing.

    • @GaoDalie_AI
      @GaoDalie_AI  2 หลายเดือนก่อน +2

      Thank you for taking the time to watch the video, i have documented all my whole journey, and the article will be live on Medium and Substack with code

  • @FlyinEye
    @FlyinEye 2 หลายเดือนก่อน +1

    Thanks for this

    • @GaoDalie_AI
      @GaoDalie_AI  2 หลายเดือนก่อน

      Thank you for taking time to watch the video

  • @MrRavaging
    @MrRavaging 14 วันที่ผ่านมา +1

    14:55 I see that during your explanation of how to configure our setup, you're only reading through basically what's already written in the code comments. I was hoping for something of an explanation of the roles that each configuration setting plays in the process and outcome of the training session, as well as recommended parameters for a brief range of setups so that viewers can gain a frame of reference for where their hardware places them within that range.

    • @GaoDalie_AI
      @GaoDalie_AI  13 วันที่ผ่านมา

      thank you for taking the time to watch the video, please I will take your suggestion on my next video thank you once again

  • @GaoDalie_AI
    @GaoDalie_AI  2 หลายเดือนก่อน

    ❣join to my Patreon: www.patreon.com/GaoDalie_AI
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  • @_deepak__jangra
    @_deepak__jangra 2 หลายเดือนก่อน +1

    procedure for small parameter model trained on 100 pdfs on cpu?

    • @GaoDalie_AI
      @GaoDalie_AI  2 หลายเดือนก่อน

      Yes, you can, but you can't train the model on 100 PDFs. Instead, you need to train your model on question-answer pairs and on how the LLM understands instructions. Thank you for watching.

  • @道可道非常道-m7v
    @道可道非常道-m7v 2 หลายเดือนก่อน +2

    Is there a code link

    • @GaoDalie_AI
      @GaoDalie_AI  2 หลายเดือนก่อน

      Thank you for taking the time to watch the video, i have documented all my whole journey, and the article will be live on Medium and Substack with code

    • @道可道非常道-m7v
      @道可道非常道-m7v 2 หลายเดือนก่อน +1

      @@GaoDalie_AI I followed you on Medium

    • @GaoDalie_AI
      @GaoDalie_AI  2 หลายเดือนก่อน

      @@道可道非常道-m7v Thank you , i hope you found it helpful