AI Reading List (by Ilya Sutskever) - Part 1

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  • Опубліковано 6 вер 2024

КОМЕНТАРІ • 28

  • @datamlistic
    @datamlistic  2 місяці тому +2

    Link to the full AI reading list series: ua-cam.com/play/PL8hTotro6aVGtPgLJ_TMKe8C8MDhHBZ4W.html&si=u9Gk38MaQ7VLH3lf
    Important note: As some of you pointed out that Ilya never confirmed this list, and I would like to apologize to those of you whom I misinformed by saying this is the official list. I was under the impression that he did confirm it. I'm very sorry for that! I promise I will do a better job researching the topics I present.

  • @TheEarlVix
    @TheEarlVix 2 місяці тому +1

    I'd like to join with others here in thanking you for making these videos. Invaluable!

    • @datamlistic
      @datamlistic  2 місяці тому

      Happy to hear that. Thanks! :)

  • @ericli2723
    @ericli2723 3 місяці тому +3

    Thanks for making these videos. They are really helpful. I look forward to next videos in this series.

    • @datamlistic
      @datamlistic  3 місяці тому

      Thanks! Happy to hear that you like this new series I am currently creating. :)

  • @AIWorks2040
    @AIWorks2040 2 місяці тому

    Thank you for making this. Not many people share this kind of real knowledge they instead just try to draw attentions and telling people AI will take your job kind of things... Thank you and thank god I found this

    • @datamlistic
      @datamlistic  2 місяці тому

      Many thanks! Glad to hear that! :)

  • @unclecode
    @unclecode 2 місяці тому +1

    Incredible job! I can't thank you enough for building this series. I just subscribed to your channel. This is a fantastic resource for those looking to delve into the theoretical aspects of AI and understand it properly.
    I have a suggestion: it would be great if you could organize the content into a structured format, listing which papers should be read first and which should come later. Also, for papers that require background knowledge, you could create an appendix section for basic concepts. For instance, if there's a paper about LSTMs, and the reader doesn't know RNNs, it will be hard to understand. You could introduce a source or link to one of your previous videos for those basic concepts.
    If you put all this together, it would be like an AI research degree, helping many people. I'd be happy to contribute and help you build this resource. Thank you again for the excellent work!

    • @datamlistic
      @datamlistic  2 місяці тому +1

      Thank you so much! I really, really do appreciate the support! ❤️
      That's a really good suggestion. I will organize the list with additional materials once I finish this series. Most likely I will post it on GitHub, so anyone can contribute to it. Thanks again! ❤️

    • @unclecode
      @unclecode 2 місяці тому

      @@datamlistic Amazing, let’s gear up with recent changes, then start live sessions to read, discuss one paper, one episode, and share implementations (if it has). It’ll be a great show series. I’m all in.

  • @GrantDobbie-fq5yy
    @GrantDobbie-fq5yy 2 місяці тому +15

    Ilya never confirmed this list

  • @MrVbarroso
    @MrVbarroso 3 місяці тому

    I really love your channel, it's so good!

    • @datamlistic
      @datamlistic  3 місяці тому

      Many thanks! Glad you think so! :)

  • @omaralkhasawneh1968
    @omaralkhasawneh1968 3 місяці тому

    great my friend

  • @guptuv_09
    @guptuv_09 2 місяці тому

    really iiliya here!!open ai daam

  • @iacobsorina6924
    @iacobsorina6924 3 місяці тому

    Super

  • @-BarathKumarS
    @-BarathKumarS 2 місяці тому +1

    illya never said this