GPT - Explained!

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  • เผยแพร่เมื่อ 15 มิ.ย. 2024
  • Let's talk about GPT, GPT-2, GPT-3 and ChatGPT in 10 minutes
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    RESOURCES
    [ 1🔎] GPT-3 Main Paper: arxiv.org/pdf/2005.14165.pdf
    [2 🔎] GPT-2 Main Paper: d4mucfpksywv.cloudfront.net/b...
    [3 🔎] GPT original paper: s3-us-west-2.amazonaws.com/op...
    [4 🔎] A very Nice intuitive understanding of GPT-3 architecture: dugas.ch/artificial_curiosity...
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ความคิดเห็น • 43

  • @CodeEmporium
    @CodeEmporium  ปีที่แล้ว +9

    If you think I deserve it, please consider liking the video and subscribing for more content like this :)

    • @srishtisingh1437
      @srishtisingh1437 ปีที่แล้ว

      Would you be interested in conducting a workshop on How ChatGPT works, Please let me know as quickly as you can and I will share my email id so that we may discuss further

    • @CodeEmporium
      @CodeEmporium  ปีที่แล้ว

      We can talk about this by emailing therealcodeemporium@gmail.com

  • @Quantum_Nebula
    @Quantum_Nebula ปีที่แล้ว +28

    This channel is so underrated. The way he explains complex subjects is remarkable.

    • @CodeEmporium
      @CodeEmporium  ปีที่แล้ว +2

      Thanks so much for the kind words :)

    • @adamromanpaul
      @adamromanpaul ปีที่แล้ว +1

      You deserve it. ❤

  • @NicholasRenotte
    @NicholasRenotte ปีที่แล้ว +12

    My lawd Ajay this is absolutely amazing! Just binged watched this at the gym. Your ability to distill something so hardcore into such a simple explanation is nuts. Bravo homie!

    • @CodeEmporium
      @CodeEmporium  ปีที่แล้ว +3

      Thanks a ton Nick. Can’t wait for your course on this!

    • @NicholasRenotte
      @NicholasRenotte ปีที่แล้ว +4

      @@CodeEmporium at the moment it’s a minute and 45 seconds of me making language puns.

    • @fahnub
      @fahnub 9 หลายเดือนก่อน

      The crossover I never expected. 🙌

  • @nilslusch6625
    @nilslusch6625 ปีที่แล้ว +1

    Loved the video, it really helped me. I had a problem with understanding how the jump from language modeling to other tasks works. You saying that it's a finetuning step helped

  • @li-pingho1441
    @li-pingho1441 ปีที่แล้ว +4

    Wow, this video was so informative and well-explained. I appreciated the clear and concise way the subject was covered. Great job!!!!!!

    • @CodeEmporium
      @CodeEmporium  ปีที่แล้ว

      Thanks for the super kind words! More like this to come :)

  • @anirudh514
    @anirudh514 6 วันที่ผ่านมา

    Very well explained

  • @wiener2063
    @wiener2063 ปีที่แล้ว +1

    Great video! Where did you get the numbers indicating how many samples it takes a human to learn those specific tasks? I'm wondering because it surprises me how low they are considering it takes humans years to learn how to form their first sentence.

  • @eng_ajy5091
    @eng_ajy5091 ปีที่แล้ว +1

    Really nice video, can I simply use pre-training GPT or BERT after fine-tuning for video captioning, which one is better for this task?

  • @paull923
    @paull923 ปีที่แล้ว

    nice thx! like the explanation of self-supervised in particular! wasn't aware of that

  • @PauloCosta-ns9bf
    @PauloCosta-ns9bf 3 หลายเดือนก่อน

    Thank you so much !!!👍👏

  • @shauryai
    @shauryai ปีที่แล้ว

    Great work!

  • @vtrandal
    @vtrandal 11 หลายเดือนก่อน

    It's absolutely astounding how transformers learn to reason. It's ChatGPT's ability to reason that sets it (and others like it) apart from anything done previously in Machine Learning and Artificial Intelligence. We are truly living in the dawning of the age of artificial intelligence.

  • @user-dc1gu8ti2t
    @user-dc1gu8ti2t 11 หลายเดือนก่อน

    Amazing Explanation

    • @CodeEmporium
      @CodeEmporium  11 หลายเดือนก่อน

      Thanks so much for watching !

  • @yookoT
    @yookoT ปีที่แล้ว +1

    Is it that the GPT models can tokenize the text into the character-level for the lowest level? I was impressed by how it generated those very rare words which that BERT can't.

    • @CodeEmporium
      @CodeEmporium  ปีที่แล้ว +1

      It tokenizes text into “Byte pair encodings” which are subwords (like “-ing”). I believe this is done to balance the inference time offered by word tokenization and small vocabulary size offered by character tokenization.

    • @yookoT
      @yookoT ปีที่แล้ว

      @@CodeEmporium But when I asked the GPT-3 or chatGPT about some biomedical questions (the keywords of answers are already within the question), they can generate the words like "L-CCG-I" or "PNU156804", which, in my opinion, can't be processed or generated in subword-level.

  • @NeoShameMan
    @NeoShameMan ปีที่แล้ว

    It's only know I understood why you were talking about workable memory lol, a working memory you work on...

  • @alexkonopatski429
    @alexkonopatski429 ปีที่แล้ว +3

    But why is GPT better than for example BLOOM? Isn’t the architecture almost the same? So what makes the difference? (And here with GPT I mean gpt3, what makes GPT3 so good in comparison to others, even GPT2)

    • @MBAFuturis
      @MBAFuturis ปีที่แล้ว

      Bloom not possible to sign up.:)

    • @alexkonopatski429
      @alexkonopatski429 ปีที่แล้ว

      @@MBAFuturis what do you mean by that?

  • @UbaidullahMOmer
    @UbaidullahMOmer ปีที่แล้ว

    Hi bro you make crazy content. I really like your content.
    I am from Pakistan

  • @ProfessorLinux
    @ProfessorLinux ปีที่แล้ว

    🔥🔥🔥

  • @tsantoshkumar3935
    @tsantoshkumar3935 4 หลายเดือนก่อน

    5:36
    What is meta learning

  • @shivampradhan6101
    @shivampradhan6101 ปีที่แล้ว

    Bro your videos are really good.
    But I am not able to get an order to watch things. This is the 5th Or 6th video on gpt from your channel.
    Can you make an ordered playlist for all yours video for deep learning? That will be very helpful for people who want to consume your content

    • @CodeEmporium
      @CodeEmporium  ปีที่แล้ว +3

      Hey Shivam. Thanks! If you check the description of this video, you’ll see the main playlists now. There are playlists for my ChatGPT videos and another playlist for Transformers. Hope this helps :)

  • @meguellatiyounes8659
    @meguellatiyounes8659 ปีที่แล้ว

    i dont understand the generative part of gpt . no body talked about it

  • @blochspin
    @blochspin ปีที่แล้ว

    These videos are content free. Its press science.

  • @theJellyjoker
    @theJellyjoker ปีที่แล้ว

    After having ChatGPT talk to ALICE and other chatbots, I am convinced that ChatGPT is just another chatbot and not as revolutionary as people are claiming. I say this because it's very limited in its ability respond and falls back on repeating statements. Also after talking to it directly, I found it to be very simplistic in it' ability to converse. I'm sure the coding and underlying technology is very impressive but what it's doing isn't much better than a nearly 30-year-old chatbot and thus unimpressive from the standpoint of what it's supposed to be.
    I know someone is going to be very offended by what I just said and all I can say is, go tell it to the chatbot.

    • @edilgin622
      @edilgin622 ปีที่แล้ว

      I feel like at its core it has just memorised the entire knowledge of the internet so whenever you ask it to perform a novel task it just fails badly. Nevertheless it is still mind bogglingly complex under the hood thats for sure.

  • @Bella-gj6wc
    @Bella-gj6wc 3 หลายเดือนก่อน

    So by watching a movie on you tube, that has GPT, we’re inadvertently teaching GPT to learn and be better? I think I’m out on that, I’m not going to make AI’s advancement easier by engaging with it. I want NOTHING to do with AI! I may be the minority but I’m okay wth that. Thanks for the video.

  • @tilakrajchoubey5534
    @tilakrajchoubey5534 3 หลายเดือนก่อน

    Where does llama fall in all these? Is it GPT based, BERT based or is different altogether?