For me it takes 4-7km of running or 15-25km cycling to get to the state where it suddenly feels like I can just go on forever. Of course that only works until the food I carry runs out or muscles start to hurt.
For me it takes 4-7km of running or 15-25km cycling to get to the state where it suddenly feels like I can just go on forever. Of course that only works until the food I carry runs out or muscles start to hurt.


Why would a company want to do that for their own internal use? Models you can download are mostly just data. They don’t do anything on their own. You can even write your own interpreter for them, if you feel like it.


Actually I agree. I guess I was just still annoyed after reading just previously about how llms are somehow not neural networks, and in fact not machine learning at all…
Btw, you can absolutely finetune llms on classical regression problems if you have the required data (and care more about prediction quality than statistical guarantees.) The resulting regressors are often quite good.


I will admit didn’t check because it was late and the article failed to load. I just remember reading several papers 1-2years ago on things like cancer-cell segmentation where the ‘classical’ UNet architecture was beaten by either pure transformers, or unets with added attention gates on all horizontal connections.


Those models will almost certainly be essentially the same transformer architecture as any of the llms use; simply because they beat most other architectures in almost any field people have tried them. An llm is, after all, just classifier with an unusually large set of classes (all possible tokens) which gets applied repeatedly


Because, while Switzerland is not part of the EU, it follows many of its regulations. Maybe even most of them.
In this particular case, I happen to know that the inofficial rule is indeed to have burner phones for travel into the us in some cases. But you’re never supposed to have unencrypted data on your phone or laptop in any case.
EVEN IN DEATH I SERVE THE OMNISSIAHORNITHOLOGIST
> binom.test(11,n=24, alternative = "two.sided")
Exact binomial test
data: 11 and 24
number of successes = 11, number of trials = 24, p-value = 0.8388
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
0.2555302 0.6717919
sample estimates:
probability of success
0.4583333
Probably not. Or at least we can’t conclude that from the data. ¯\_(ツ)_/¯
I didn’t know that Rómendacil II was born with another name. Got the rest. :)
Depends on the kind of blur. Some kinds can indeed be almost perfectly removed if you know the used blurring function, others are destructive. But, yes, don’t take that chance. Always delete/paint over sensitive information.
Source: we had to do just that in a course I took a long time ago.
Mir hei zum glück üses jährleche alpweekend vo letscht Wuche no chönne uf Disi schiebe. :)
Di letschte drü Täg isch ja eigentlech sehr guet gsi, und ih dene paar Stund wo gwitteret hett, heimer zumindescht äh sehr schöni Ussicht gha.
Mit em Dampfschiff übere See “Lue Tini, hesch das Schloss dert gseh?” D Muetter fragt, i bi drüjährig gsy “Lue Muetter, ds Schloss isch gäng no hie!”
Oberhofe am Thunersee! I dänke zrügg, s′ tuet guet, s tuet weh “Oberhofe!” mir lege aa U i der Täsche vo der Muetter het’s Schoggola!
This is absolute nonsense. I would prefer most of Europe over Switzerland. The swiss government was always bad with privacy. See Fichenaffäre for example. Not to mention the new büpf and similar laws. I’m swiss. I would never store sensitive data in Switzerland on a public server. Well. Except taxdata, I guess. Can’t really get around that.