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cabidaher

HN member
Joined
Mon, Feb 20, 2023, 9:58 AM UTC
HN karma
11
Public activity
20 items

About cabidaher

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Recent public activity

  1. comment
    Comment #46438782

    My brain overheated just reading the words at first. Great puzzle!

  2. story
  3. comment
    Comment #43083515

    Pitching in to your and parent comment but from the junior side to say that yes, this definitely helps :)

  4. comment
    Comment #41852756

    Thank you for sharing this. Many laughs were had! The company you were applying to sure missed out!

  5. comment
    Comment #41848421

    Where can one find a list of those watches/manufacturers?

  6. comment
    Comment #41847175

    > just solving the problem for the input data I think a lot of people here would be surprised how much of a step up this is from classic leetcode or DSA stuff. I have been involved…

  7. comment
    Comment #41646184

    I think this is because for a long time on the internet there was this intense discussion of "introvert vs extrovert" and memes about what it means to be in each camp that we have …

  8. comment
    Comment #41634186

    As a non-architect, I would love if you could explain some of what makes the non-duck designs _so_ horrible. Some of them looked more than fine to me at first glance. It's also som…

  9. comment
    Comment #41634093

    Thanks for the tip!

  10. comment
    Comment #41623454

    Thank you for your reply. I had suspected it was the second chance pool but I had never seen that mechanism in action so I thought it'd get re-posted, not that it would appear as i…

  11. comment
    Comment #41601825

    Wasn't this posted here a few days ago?

  12. comment
    Comment #41599769

    Did you experiment with different ways to format those included headers? Asking because I am doing something similar to that as well.

  13. comment
    Comment #41591670

    from a quick look, I believe the code for the page is here: https://github.com/g-trees/g_trees

  14. comment
    Comment #41555303

    Anthropic publishes quite a lot too though.

  15. comment
    Comment #41434033

    Location: Rennes, France Remote: Flexible Willing to relocate: Yes/EU Technologies: Python (HuggingFace, PyTorch, Keras, Scikit-learn, Llama-Index, Flask, Selenium, others), .NET C…

  16. comment
    Comment #40732353

    I don't think speculative decoding proves that they consume less/more energy per question. Regardless if the question/prompt is simple or not (for any definition of simple), if the…

  17. comment
    Comment #40726319

    Multi-token prediction looks very interesting and quite elegant. It seems more efficient than predictive sampling. From what I understand, they are essentially training it to have …

  18. comment
    Comment #40643903

    In the same vein, Refusal in LLMs is mediated by a single direction: https://www.lesswrong.com/posts/jGuXSZgv6qfdhMCuJ/refusal-in...

  19. comment
    Comment #40390640

    This paper [1] does atempt that and reports similar performance compared to conventional pre-training. However, they do start off by doing a normal full-rank training and claim tha…

  20. story