What is Zero-Shot Learning?

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  • Опубликовано: 18 сен 2024
  • Want to play with the technology yourself? Explore our interactive demo → ibm.biz/BdKkPk
    Learn more about the technology → ibm.biz/BdKky2
    Humans can on average categorize 30,000 unique object categories, but how can AI systems distinguish between different things? Zero-shot learning can be done through various methods like attribute based and embedding based learning. In this video Martin Keen explains how technologists are giving AI systems the categorization power that we take for granted.
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Комментарии • 15

  • @aott6799
    @aott6799 День назад +1

    Mr. Keen lives up to his name. Another great presentation 👍

  • @raymobula
    @raymobula 3 дня назад +3

    A video about GANs would be great.

    • @MartinKeen
      @MartinKeen День назад +1

      A GAN video was one of the first I ever recorded for this channel... such a fun algorithm: ruclips.net/video/TpMIssRdhco/видео.htmlsi=9tVig_Xhq2UufPbE

  • @geniusxbyofejiroagbaduta8665
    @geniusxbyofejiroagbaduta8665 3 дня назад +2

    Thanks i now have an understanding of this subject

  • @naridabanucio2828
    @naridabanucio2828 2 дня назад +1

    Great teaching

  • @hammadaslam9201
    @hammadaslam9201 3 дня назад +2

    Wonderful explanation of ZERO short learning,
    thanks for sharing a quality content :)

  • @The_Artist_Gt_plus
    @The_Artist_Gt_plus 3 дня назад +2

    I want to get invole in tech field!

    • @bamh1re318
      @bamh1re318 2 дня назад

      Me too! But IBM educational videos seems to release enough information on their capabilities to set us up to employ their WastonX. There is no double it will become great agents for many business

  • @SHANEALAM-p5x
    @SHANEALAM-p5x 3 дня назад +2

    IBM 🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉🎉GREAT

  • @thesimplicitylifestyle
    @thesimplicitylifestyle 2 дня назад

    GAN + RAG + Embodiment = AGI
    😎🤖

  • @FREELEARNING
    @FREELEARNING 3 дня назад

    Thanks for the nice tutorial. while I think that the term "Learning" is kind of misleading. in reality the model's parameters are not changed at all. witch means that their is no leaning.
    The only thing that happens is that we are giving the model some labeled examples to the model as part of our prompt to kind of guiding it how to respond to an unlabeled example.
    it's like when I give you this sequence "1 2 3 4 5", and I say complete the sequence "7 8 9" by following the same logic. So you will say "7 8 9 10".

  • @JustAThought01
    @JustAThought01 3 дня назад

    Thank you very much for this video. It is a great summary of the current state of neural network development.

  • @HDennis
    @HDennis 2 дня назад

    He must be writing everything mirrored for us to see it correctly, right?

    • @ambareesha04
      @ambareesha04 День назад

      That would be incredibly hard to do so quickly and without errors. I’m wondering if the video itself is mirrored.

    • @waynet285
      @waynet285 8 часов назад

      Hi Dennis. I think he's likely right-handed and writing normally, and they horizontally flipped the video in post-production so it's not back to front for viewers :) This video (though somewhat old now in internet terms) explains it well: ruclips.net/video/eVOPDQ5KYso/видео.html