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d3m0t3p

HN member
Joined
Mon, Nov 08, 2021, 9:16 AM UTC
HN karma
147
Public activity
81 items

About d3m0t3p

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Recent public activity

  1. comment
    Comment #49128873

    When everyone push on friday, and you have 400 CICD pipeline triggers spawning that many nodes. How do you know if this is unexpected ? Their cloud compute might be on demande, som…

  2. comment
    Comment #48764790

    They are using Qwen, so this is decoder only.

  3. comment
    Comment #48752891

    This is exactly the same with providers from the USA.

  4. comment
    Comment #48679965

    It was 15 years ago. Whole management got replaced, they are quite ambitious. Let's see if how this works out now.

  5. comment
    Comment #48452540

    I don't think so, faster trains are overtaking slower trains. There is simply not enough space between the station to overtake without having an acceleration that would damage the …

  6. comment
    Comment #48190320

    Interesting to see clearml but not its bigger counterpart mlflow

  7. comment
    Comment #48185842

    I think this is due to their AI insight, they run locally a model and it start to burn the whole computer.

  8. comment
    Comment #48163452

    It is really fun that the navbar has unaligned elements. (Docs is lower)

  9. comment
    Comment #46818607

    Yea but the goal it not to bloat the context space. Here you "waste" context by providing non usefull information. What they did instead is put an index of the documentation into t…

  10. comment
    Comment #46420008

    Same, Firefox iOS

  11. comment
    Comment #46320494

    The model is fined tuned for chat behavior. So the style might be due to - Fine tuning - More Stylised text in the corpus, english evolved a lot in the last century.

  12. comment
    Comment #46185732

    Is that really the only thing you managed to remember ?

  13. comment
    Comment #45715162

    Because the ML ecosystem is more mature on the NVidia side. Software-wise the cuda platform is more advanced. It will be hard for AMD to catch up. It is good to see competition tho…

  14. comment
    Comment #45702827

    In my own studies, software engineering was mostly about structurig code, coding pattern such as visitor, singleton etc. I.E how to create a maintainable codebase

  15. comment
    Comment #45509287

    Would you have some literature about that ?

  16. comment
    Comment #45508205

    This sounds a lot like what the Muon / Shampoo optimizer do.

  17. comment
    Comment #45101385

    Interesting to see that they enforce retroactive opt out for data collection. I wonder how they do that, what if the model is already trained with your data and you opt out.

  18. comment
    Comment #44803946

    You can batch only if you have distinct chat in parallel,

  19. comment
    Comment #44573220

    Nice to see a master thesis highlighted on the research groupe page

  20. comment
    Comment #44565070

    Your first link is (in my opinion) highly biased in the samples they choose, they hired maintainers from open-source repos (people with multi years of experience, on their specific…

  21. comment
    Comment #44557561

    It is Gemma 3n, I can't give feedback yet on the battery hit, But I would not expect anything bad as these models have been developed for much smaller devices (Phones)

  22. comment
    Comment #44540873

    Hey, really cool project, I’m excited to see the outcome. Is there a blog / paper summarizing how you are doing it ? Also which research group is currently working on it at eth ?

  23. comment
    Comment #44485223

    Do they ? LLM embedd the token sequence N^{L} to R^{LxD}, we have some attention and the output is also R^{LxD}, then we apply a projection to the vocabulary and we get R^{LxV} we …

  24. comment
    Comment #44287731

    You can check company names too ! It's interesting to see that by default, the graph shows google,apple. But adding meta, and IBM really changes the plot. Meta went from 2K to 10K+…

  25. comment
    Comment #43533679

    Apparently this is the case: https://github.com/tulir/whatsmeow/discussions/199