Key Concepts and Techniques for Natural Language Processing

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  • เผยแพร่เมื่อ 22 ธ.ค. 2024

ความคิดเห็น • 24

  • @jorgesanabria6484
    @jorgesanabria6484 ปีที่แล้ว

    Amazing quality. Please continue making videos.

  • @ColinTorrible
    @ColinTorrible ปีที่แล้ว

    Hey thank you so so much for making these videos!! Your channel is so underrated. There's just so few people doing this.

  • @AvaFaghihi
    @AvaFaghihi ปีที่แล้ว +2

    Please explain how to implement all three techniques of word embeddings using neural networks.

  • @siddanth6436
    @siddanth6436 8 หลายเดือนก่อน

    Hii . I have done front end with many pages using streamlit. How to connect it with colab for project? Plzz answer

  • @inkdfist3702
    @inkdfist3702 ปีที่แล้ว +1

    Thank you for doing great videos!

    • @misraturp
      @misraturp  ปีที่แล้ว +1

      Thank you! Glad you like them. :)

  • @bay-bicerdover
    @bay-bicerdover ปีที่แล้ว

    1:40'daki Transformers ilgi çekici. Bu mimariyle ilgili çaylak dostu bir anlatı rica ediyorum.

  • @radimkozl3270
    @radimkozl3270 ปีที่แล้ว

    What kind of deep learning framework is a better use, PyTorch or TensorFlow with Keras?

  • @RajKumar-wh9cw
    @RajKumar-wh9cw ปีที่แล้ว +2

    Pls do a series about these topics.

  • @emre-erdin
    @emre-erdin ปีที่แล้ว

    Neden sessizliğe büründün Mısra :) Kanalını az önce keşfettim ve son videonun 6 ay önce gelmesi beni bir hayli üzdü...

  • @user-wr4yl7tx3w
    @user-wr4yl7tx3w ปีที่แล้ว

    For LLM, are scraped data from Wikipedia for example stem and lemma before training?

    • @misraturp
      @misraturp  ปีที่แล้ว

      As far as I know, LLMs directly use the data. I'm sure there is some preprocessing done but I'm not sure if they use stemming and lemmatization.

  • @Patrick_Bentolila
    @Patrick_Bentolila ปีที่แล้ว

    A video about nlkt would be cool.

  • @xylyx_
    @xylyx_ ปีที่แล้ว

    Hello Misra ,
    I have a streamlit python application which takes some inputs and sends a post request to a rest endpoint where all the computation happens and user awaits for the response with a loading animation on the website. But if the user refreshs the web page, then how to continue from the same place where they left off, I mean from the same state.
    Your help would mean a lot.
    Thank you.

    • @tyswenson7542
      @tyswenson7542 ปีที่แล้ว

      Have you explored caching on Streamlit? Or memoization?

    • @xylyx_
      @xylyx_ ปีที่แล้ว

      @@tyswenson7542 api response can't be stored with st.cache. tried and got the error as well.

    • @miguelhermar
      @miguelhermar ปีที่แล้ว

      there's something called st.session_state, I'm sure it may be useful for your case to store the last value of the variables each time the page refreshes.

  • @UmerFarooq_697
    @UmerFarooq_697 9 หลายเดือนก่อน

    very beautiful teacher.
    i want to carry on learning always

  • @badalsuryawanshi9200
    @badalsuryawanshi9200 ปีที่แล้ว

  • @bay-bicerdover
    @bay-bicerdover ปีที่แล้ว

    Ve Mısra kayıplara karışır...

  • @potansiyel7021
    @potansiyel7021 11 หลายเดือนก่อน

    misra abla nerelerdesin :(

  • @rohangurave4032
    @rohangurave4032 ปีที่แล้ว

    You are so cute✨🧡

  • @abdulqadirkhan554
    @abdulqadirkhan554 9 หลายเดือนก่อน

    Hey mam, you are a great teacher, please can you provide your email