Top 5 LLM Fine-Tuning Use Cases You Need to Know

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  • Опубликовано: 21 дек 2024

Комментарии • 19

  • @maya-akim
    @maya-akim  Год назад +3

    I hope you enjoy this video and let me know if you have any ideas for the next one :)

  • @ImranKhan-wr2il
    @ImranKhan-wr2il Год назад +3

    How to build your own custom finetuned chatbot -YES 👍
    Waiting for your next video

  • @steveraju
    @steveraju Год назад +3

    I would go as far as saying that you, Maya, are one of the best AI creators on RUclips. Seriously. Excellent content, you have my mind racing with ideas. Keep going! 😊

    • @maya-akim
      @maya-akim  Год назад +3

      Thank you so much! 😊

  • @leonvanzyl
    @leonvanzyl Год назад +2

    Excellent video Maya. Really informative. Your editing is really cool as well!

  • @AndreAmorim-AA
    @AndreAmorim-AA Год назад +2

    Your videos are very didactic, and you have a communication talent. You have a good tone of voice and rhythm for explaining complex topics in a more accessible manner. I find the LLM knowledge domain, fine-tuning, and specific use case applications to be very interesting. I'm wondering if you will go into depth on topics such as Huggingface, the Langchain tutorial, how to deploy our own environment in the cloud (for example, cloud GPU benchmark prices), or even how to deploy LLM locally on premises for sensitive data. That would be great. Thanks for your videos.

    • @maya-akim
      @maya-akim  Год назад

      Thank you so much for this lovely comment and for all the ideas you shared. I was definitely planning on making more Huggingface/LangChain videos. And you totally opened my eyes to GPU benchmark prices/LLM and sensitive data, I never thought there would be interest but I think that those topics could be turned into great youtube videos.

  • @jeffreymorrell2715
    @jeffreymorrell2715 9 месяцев назад +1

    Would love a video on fine tuning for my writing style. I’ve been trying to do this for a while and it hasn’t been great

  • @loicbaconnier9150
    @loicbaconnier9150 Год назад +1

    Yes you make a very good work thanks. One another important topic to cover will be RAG and fine tunning it. Why fine tunning RAG , is it better, complementary,.....

  • @kevinduck3714
    @kevinduck3714 Год назад +1

    Your videos are awesome. Keep it up!

  • @andrey-i2c
    @andrey-i2c Год назад +1

    Could you please give a link for 7:48?

  • @stephane-wamba
    @stephane-wamba 10 месяцев назад

    Good job! Your video is so captivating. What softwares have you used to that?

  • @fufuscientonoventa2181
    @fufuscientonoventa2181 4 месяца назад

    I want to send to a LLM documents from my clients (big banks, mutual funds, etc) so that it helps me extract certain data from them. However, I cannot do that with chatGPT or Copilot given that this would breach privacy agreements we have with these clients, as the documents have sensitive information. What is my best alternative? Can I create a fine tuned model which uses a strong LLM such as the ones behind chatGPT or copilot on the back, but which runs locally so that the data I provide the LLM is not uploaded anywhere? Thanks in advance.

  • @elrecreoadan878
    @elrecreoadan878 Год назад

    Hi ! When should one opt to fine tune instead of using a voiceflow / botpress ai bot for customer service?

  • @oryxchannel
    @oryxchannel Год назад

    Keen...progressive introduction points.

  • @RichardGetzPhotography
    @RichardGetzPhotography 11 месяцев назад

    BING watching!!
    I like the 6:50 t5-small from Biblical text. This would help with my Bible app.

  • @weiyeeong1212
    @weiyeeong1212 Год назад

    you're the best!

  • @atalaeuro1431
    @atalaeuro1431 Месяц назад

    Hello Maya - good