Viewing profile — eoerl
eoerl
HN member- Joined
- Tue, Mar 03, 2020, 4:58 PM UTC
- HN karma
- 38
- Public activity
- 21 items
- HN profile
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About eoerl
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Recent public activity
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Comment #49028814
this is amazing https://godbolt.org/ , you can just paste a function or a bunch of them and instantly see what is generated. It doesn´t take being an expert to start to recognize t…
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Comment #43799248
Optimization is post hoc here : you have to train first to be able to huffman en ode, so it's not a pure format question
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Comment #42351838
In a lot of countries there are rules, for instance limitations in terms of spending or similar time on air for all candidates. I don't know whether that's the case in Romania, but…
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Comment #39673773
These can also be used for machine learning actually (see Dali for data loading for instance)
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Comment #37286268
We (The Eye Tribe folks) sold one at 99$ years ago. 1k-3k is mostly lack of competition I believe.
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Comment #37019348
There are flags[1] for that indeed. It feels like half of the people commenting here don't know all that much about the topic they're commenting upon 1: https://pytorch.org/docs/st…
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Comment #36240745
> It's not perfect but a group of aligned people in the same physical working space will just dominate a similar group spread apart that has to use chats & zoom to communicate. Man…
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Comment #33728280
It is not typically possible to blend models like that, since the training process is (lateral) order insensitive, as far as the model goes.
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Comment #32992329
identical outputs, up to float computation shenanigans (not computed in the same order, strictly speaking)
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Comment #32992308
yep, same approach but it arrived 3 days later and there's no mention of the [original PR]( https://github.com/huggingface/diffusers/pull/532#issuecomme... ), nice. Else the kernel…
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Comment #32992275
did you even peek at the link ? There's a PR on diffusers, and it's mentioned on the front page https://github.com/huggingface/diffusers/pull/532#issuecomme...
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Comment #32992259
That's the explanation behind https://news.ycombinator.com/item?id=32985716 , nice work
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Comment #31536682
I'm utterly fascinated, big knot fan and I didn't know this one, but it's a combination of parts I knew. It's really strange to me though, and it's probably a culture thing, becaus…
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Comment #31526604
they don't need to layoff, just freeze the hires and wait for the churn
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Comment #31430971
actually it seems that it was because a lot of other well known models are not yet supported, missing ops in the Metal backend
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Comment #31430962
I'm not sure what you meant with the link, but the parent is right, so adding an explanation here: M1 Ultra has about 400GB/s theoretical bandwidth but Anandtech shows that none of…
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Comment #31298232
How much of that have you actually benchmarked, time wise ? I think it’s the point of the article, most of our “benchmarking” is actually marketing. To take an example I’ve been us…
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Comment #31168099
I’m using a similar setup (G15) for “AI” dev on Linux, it works very well with the Asus-laptop utils. To complement other points: - you can put the nvidia card in “compute” or “hyb…
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Comment #30612041
pushing all this to "un-optimization tax" is an easy pass on apple. - nvidia really is a software company, it's the running joke in the industry. when you buy a nvidia gpu, you pay…
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Comment #22476886
Amazon owns nothing, not the ARM IP nor the manufacturing chain (TSMC or Samsung most probably), in that field it's not a big player. It owns what it does with Graviton, that's pre…
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Comment #22476314
the key issue when compared to Epyc is that this is mono-die, and not much faster (even with metrics straight from Ampere). Mono-die means that the die is huge, the yield is low, i…