Training and deploying open-source large language models

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  • เผยแพร่เมื่อ 16 พ.ย. 2024

ความคิดเห็น • 15

  • @aayushgarg5437
    @aayushgarg5437 10 หลายเดือนก่อน +1

    Thank you Niels for this short video on training and deploying LLMs. Really enjoyed. Keep making such videos. :)

  • @RajaSekharaReddyKaluri
    @RajaSekharaReddyKaluri 10 หลายเดือนก่อน

    All I can say is Thank you!
    If we meet some time somehow I would be more than happy to give you a treat.

  • @Hypersniper05
    @Hypersniper05 10 หลายเดือนก่อน

    What a great breakdown of exactly what we saw in 2023

  • @thenewexeptor
    @thenewexeptor 9 หลายเดือนก่อน

    Awesome video. Simple and insightful.

  • @michelguenard8391
    @michelguenard8391 10 หลายเดือนก่อน +1

    Thanks for this comprensive work.
    I was eager to get all these bricks consolidated as you did.
    I am not a developper but i am now certain to have a plan for my own and small project; at least
    to prove it can be useful to people, enhancing their knowledge with pleasure!
    Thanks again.
    Best wishes for 2024
    Michel from France

  • @RezaZaheri-ow3qm
    @RezaZaheri-ow3qm 6 หลายเดือนก่อน

    Fantastic breakdown, thank you Niels

  • @onangarodney7746
    @onangarodney7746 10 หลายเดือนก่อน

    Thanks for the video. I learned so much

  • @codingthefunway9852
    @codingthefunway9852 10 หลายเดือนก่อน

    Thank you very much for this video. You've been so helpful to me sincerely.

  • @Yocoda24
    @Yocoda24 10 หลายเดือนก่อน

    Insightful, and very straightforward! Awesome video

  • @giviz
    @giviz 10 หลายเดือนก่อน

    That was a really nice talk thank you!

  • @DailyProg
    @DailyProg 10 หลายเดือนก่อน

    This was a great one

  • @thegrumpydeveloper
    @thegrumpydeveloper 10 หลายเดือนก่อน

    Interesting that we’re rapidly following the history of mainframe based computing down to local and mobile based computing. We’ll always have some form of api based llm but running something like a mistral 7b on mobile or perhaps a mixtral and beyond may become commonplace in just a few years time.

  • @giofou711
    @giofou711 9 หลายเดือนก่อน

    4:33, 6:05 How to evaluate the output of the LLM models: Hugging Face's Open LLM Leaderboard or LMSys's Chatbot Arena

  • @mohsenghafari7652
    @mohsenghafari7652 7 หลายเดือนก่อน

    hi. please help me. how to create custom model from many pdfs in Persian language? tank you.

  • @akshatkant1423
    @akshatkant1423 7 หลายเดือนก่อน

    If we train a llm model with our data and deploy it in our server, everything is ours then will there be token limits then also? Like response output tokens? I want my model to generate like 25k output tokens is it possible if it's deployed in our server only and not using any big organisations api llm model