Viewing profile — mufasachan
mufasachan
HN member- Joined
- Tue, Apr 25, 2023, 4:19 AM UTC
- HN karma
- 21
- Public activity
- 26 items
- HN profile
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About mufasachan
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Recent public activity
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Comment #48098336
Insightful comment ahead: Is the gravity set very high or am I getting too old to play Flappy Bird with Transformers?
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Comment #47464961
The blog is technical, technical terms in the TL;DR seems relevant to me.
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Comment #47448008
Me too, I set up a WG tunnel to access this.
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Comment #43903251
Same experience, my workflow is to run the container from a podman run command, check it runs correctly, podlet to create a base container file, edit the container file (notably wi…
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Comment #43725752
I appreciate the motivation of the author but the examples of this blog do not convince me at all. For every situation, there would be an alternative (with init or not) that addres…
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Comment #43100217
My bad! As you said, this part of Python code bases is chaotic (:
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Comment #43099615
Eh, ML/scientific Python is large and not homogeneous. For code that should work on cluster, I would lean towards a Docker/container solution. For simpler dependancy use cases, pye…
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Comment #42903281
I do not know the people's background of a lot of comments here. They might have much more experiences than me with tensors. But, in my deep learning code and works, when I need to…
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Comment #42880515
Thank you for your answer. Some code base have chaotic execution path through a monolithic code base (by design). So, for these code bases, I heavily rely on the debugger. But I li…
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Comment #42876287
Thanks for sharing your experience!
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Comment #42865700
I would be curious to know how you managed to do this. I really tried to do this but the tons of dev tools I am using was too much for transitioning to neovim for my daily work. Na…
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Comment #42814641
fair comparison: tiananmen square versus yt-dl. Hilarious. (I 100% agree with you, just your comment gave me a funny smile. The comparison is relevant.)
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Comment #42640171
Thanks, my bad.
- story
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Comment #42339016
Thanks for the details!
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Comment #42336494
Great benchmark, very interesting. Although, I am not sure about the extrapolation of the H200 from the lambda bench. From my understanding, Lambda and theirs bench used different …
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Comment #42187997
An inspiring project. I am looking forward to see some gloves connected to a VR device. I think that some cheap sensors, a bit of bayesian modelling and a calibration step can offe…
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Comment #41575826
Arguably, it's off-topic, though I agree with the point. Lebanon has been struck by poverty, and as a result, they might have far fewer choices when it comes to providers in genera…
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Comment #38205010
> Although the author OCR’ed the SAT questions and believes that they weren’t in the training data I agree that the author of the tweet fairly underestimates the potential portion …
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Comment #37872626
Disclaimer: This is just my intuition, I do not have knowledge about LoRA on small models. It's possible that does not work. LoRA (for Low Rank) benefits from the "small changes" i…
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Comment #37685391
One explaination https://x.com/yampeleg/status/1707127722743325106?s=46&t=Cxa... I would be curious what does he mean by "semi-automated system for detecting benchmark leaks. " tho…
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Comment #37656548
A simple research on Scholar with "facial recognition liars" leads to a few niche articles about the topic. So it seems that facial recognition for liars is a thing. After a quick …
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Comment #37222968
TL;DR: One is about distance in space, the other is about spread in space. KL-Divergence is not a metric, it's not symmetric. It's biased toward your reference distribution. Althou…
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Comment #37019931
To be honest, OP seems to be at the beginning of its reading journey. His method is laborious. This "chain of summaries" seems to be hardly effective. I think the fractal method is…
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Comment #35696454
Everything is in the SO post. Also, this is my first SO question, if you have any remarks regarding it - putting aside the problem in itself - I am all ears.