Viewing profile — d3m0t3p
d3m0t3p
HN member- Joined
- Mon, Nov 08, 2021, 9:16 AM UTC
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- 147
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- 81 items
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About d3m0t3p
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Recent public activity
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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…
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Comment #48764790
They are using Qwen, so this is decoder only.
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Comment #48752891
This is exactly the same with providers from the USA.
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Comment #48679965
It was 15 years ago. Whole management got replaced, they are quite ambitious. Let's see if how this works out now.
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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 …
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Comment #48190320
Interesting to see clearml but not its bigger counterpart mlflow
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Comment #48185842
I think this is due to their AI insight, they run locally a model and it start to burn the whole computer.
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Comment #48163452
It is really fun that the navbar has unaligned elements. (Docs is lower)
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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…
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Comment #46420008
Same, Firefox iOS
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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.
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Comment #46185732
Is that really the only thing you managed to remember ?
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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…
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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
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Comment #45509287
Would you have some literature about that ?
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Comment #45508205
This sounds a lot like what the Muon / Shampoo optimizer do.
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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.
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Comment #44803946
You can batch only if you have distinct chat in parallel,
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Comment #44573220
Nice to see a master thesis highlighted on the research groupe page
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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…
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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)
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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 ?
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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 …
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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+…
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Comment #43533679
Apparently this is the case: https://github.com/tulir/whatsmeow/discussions/199