Viewing profile — cabidaher
cabidaher
HN member- Joined
- Mon, Feb 20, 2023, 9:58 AM UTC
- HN karma
- 11
- Public activity
- 20 items
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About cabidaher
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Recent public activity
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Comment #46438782
My brain overheated just reading the words at first. Great puzzle!
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Comment #43083515
Pitching in to your and parent comment but from the junior side to say that yes, this definitely helps :)
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Comment #41852756
Thank you for sharing this. Many laughs were had! The company you were applying to sure missed out!
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Comment #41848421
Where can one find a list of those watches/manufacturers?
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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…
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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 …
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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…
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Comment #41634093
Thanks for the tip!
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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…
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Comment #41601825
Wasn't this posted here a few days ago?
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Comment #41599769
Did you experiment with different ways to format those included headers? Asking because I am doing something similar to that as well.
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Comment #41591670
from a quick look, I believe the code for the page is here: https://github.com/g-trees/g_trees
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Comment #41555303
Anthropic publishes quite a lot too though.
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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…
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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…
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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 …
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Comment #40643903
In the same vein, Refusal in LLMs is mediated by a single direction: https://www.lesswrong.com/posts/jGuXSZgv6qfdhMCuJ/refusal-in...
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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…
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