BEST Datasets for LLMs | Plus: Create Your Own

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  • Опубликовано: 21 авг 2024

Комментарии • 17

  • @earltan739
    @earltan739 Год назад +8

    Thanks for this!!! However, this could have been even better if you gave an actual demo on a notebook of how you would approach and modify a dataset. Or creating a dataset with the Evol-Instruct technique or the orca's approach of creating a data set. Still great content though

  • @cutmasta-kun
    @cutmasta-kun Год назад +1

    Nice!

  • @danson3038
    @danson3038 Год назад +1

    hey, have you done or recomend any video regarding the hw to run your onpremise llm? or cloud?

  • @goldnarms435
    @goldnarms435 3 месяца назад

    @09:05 is a thing of legend.

  • @walidsalahuddin
    @walidsalahuddin 5 месяцев назад

    is there open source datasets for arabic language ?

  • @cecilsalas8721
    @cecilsalas8721 Год назад

    🤩👍

  • @marcussamuel2519
    @marcussamuel2519 Год назад

    Hi, I'm enjoying the videos, do you have a discord server or any way to get in cotact with you personally? Thank you!

  • @mohamedmohamoud4228
    @mohamedmohamoud4228 11 месяцев назад

    How can i optimise data content with my personal data ?

  • @NeuroScientician
    @NeuroScientician Год назад

    I think the pricing is bit off, you can get A100 80GB for lot less than $5/h

    • @adhingafredrick7600
      @adhingafredrick7600 11 месяцев назад

      Where can I get it for $5/h

    • @NeuroScientician
      @NeuroScientician 11 месяцев назад

      @@adhingafredrick7600 Runpod has H100 for 4.29 and A100 for 1.84

  • @blablabic2024
    @blablabic2024 Год назад

    4090 ti is straining under 4-bit quantized 30-b version. Reasonable token speed though . ROCm coming to 7900 XTX, a card that is practically 1/2 the price of the 4090 (essentially, you'll have free electricity consumption for quite some time when you plan in the price difference). Taken all together you'll have cca 600-700 Watt per hour power consumption when the model is running. All in all you'll have a great AI toy for under 3,000-3,500 US$ (Ryzen 9 16 core, 32 thread and all combined).

  • @abdoualgerian5396
    @abdoualgerian5396 Год назад

    your channel is gold, but unfortunately there is no clear path to walk through the videos for a beginner who has no idea where to start and where to go after

    • @code4AI
      @code4AI  Год назад +3

      Good remark. In the next days (maybe at the weekend) a new introduction video will be published, where I try to explain basic methods, techniques, software on how to start with generative AI systems like GPT-4. Thank you!

  • @jmirodg7094
    @jmirodg7094 Год назад

    thanks, this is very usefull

    • @code4AI
      @code4AI  Год назад

      Glad it was helpful!

  • @gileneusz
    @gileneusz Год назад

    6:25 that's not that expensive