LLM2LLM: Synthetic Data for Fine-Tuning (UC Berkeley)

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  • Опубліковано 25 бер 2024
  • LLM2LLM: Can LLM teach other LLMs new knowledge? How is it done? What is the performance of those AI systems? Can LLMs generate high quality datasets for the fine-tuning of other (smaller) LLMs? For edge devices?
    All questions answered in the latest video on synthetic data generation and synthetic data augmentation.
    #ai #airesearch #newtechnology
  • Наука та технологія

КОМЕНТАРІ • 6

  • @user-bd8jb7ln5g
    @user-bd8jb7ln5g 2 місяці тому

    One glaring omission form this list is a check of data's veracity. Or did I miss that?
    An easy way to do it would be to feed the answers from the originating LLM back to itself and have them evaluated for accuracy, truthfulness.

  • @Karl-Asger
    @Karl-Asger 2 місяці тому

    Very excited that I see a video from you on this topic 🎉

  • @user-bd8jb7ln5g
    @user-bd8jb7ln5g 2 місяці тому

    Is anybody using LLMs to process original source data, preparing/optimizing it for input?

  • @scitechtalktv9742
    @scitechtalktv9742 2 місяці тому +1

    Very interesting!
    I wonder: if I would like a LLM that is specialized in for example Physics knowledge, how could I use this method to generate such a specialized LLM?

  • @sadaisystems
    @sadaisystems 2 місяці тому

    Thanks for the video! What software do you use to create this beautiful presentations?

  • @kevon217
    @kevon217 2 місяці тому

    little grasshopper* LLM