No, you just use a standard technique like word2vec.

Basically words are considered similar (and embedded to nearby locations in a high dimensional space) if they are likely to be used in the same context.

And because slurs are used to indicate that you don’t like someone, they tend to occur in the same kind of context.

So they’re all very similar. This is actual natural language processing being used, but it’s a shit post and the graphics aren’t very clear.

Bragging rights and improved sleeping ability from the knowledge that the devs are being supported.

The serious answer is it’s often easier for people in a company to buy a license key than it is for them to arrange a donation to the devs. So this is an easy way to make small donations.

So why can’t America sell weapons to Ukraine forever?

I thought this was the American dream. Make loads of money while other people die somewhere far away.

Also not to be confused with tower bridge which is the one everyone that doesn’t live in London calls London bridge.

Yeah, market.

Like a literal old fashioned market. You pay to put your stall out and in exchange you get customers in a well regulated and run place.

Don’t like it? Don’t pay.

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You can get a very good idea of what works by just looking for AMD GPU cloud compute.

If it was usable and cheaper everyone would be offering it. As far as I can see, it’s still experimental and only the smaller players, e.g. IBM and Oracle are pushing it.

Streeting is fucking awful. He’s super Christian, and consistently makes terrible faith based decisions - he’s anti trans and anti right to die - while pretending he’s making them for non religious reasons.

He’s even talked about how he was brought up to be a self-hating gay person because of his faith. Apparently he did just enough therapy to realize his church was wrong about gay people, but he can’t extend the same awareness to trans issues.

Yeah as someone that lives in a city with mass transit, you change your habits.

You shop two or three times week at somewhere in walking distance. You walk to the vet, and you order lumber online with next day delivery.

If I genuinely need a car, there’s one parked in the next street I can rent with an app.

On top of that parking here is a pain in the arse, and the average traffic speed is something like 7mph.

Well it is trained to copy musk.

I think you meant to post this to /c/dataisunreadable

I guess it might work if HR don’t know how an LLM works. There’s not many that can edit a word file so it includes whited-out footnotes.

You’re better off getting a friend to lie for you. They can say they added it while helping you with formatting and you know nothing about it.

Genuinely, this already happens in large companies for related reasons.

The CV is on file, and if HR reprocess it for any reason e.g. relocation or change of role, it’s automatic dismissal for dishonestly if they catch a deliberate lie.

No but they can fire you later even if you’re good at the job.

Then you’re stuck in an even worse position with a big gap in your CV and no reference.

Unfortunately, this is seen as dishonestly and is grounds for immediate dismissal in a lot of places.

Right. That’s why they overreact to everything, and bring old military equipment on swat raids.

They’re much more likely to panic and drive an APC through the crowd or return fire on a mostly unarmed crowd using automatic weapons.

Just ask yourself, “what has Israel done recently?” and remember that US police train with them.

Bottom has infinite density and will collapse into a black hole killing everyone, and destroying the tram and lever.

I live in a walkable European city.

My nearest library is 5 minutes away, there’s a bigger library maybe 20 minutes away, and for anything further I’d take public transport.

I mean Nando’s was originally a South African company, and now it’s just a big multinational. Not sure what they have to do with the Netherlands though.

In practice it’s very systematic for small networks. You perform a search over a range of values until you find what works. We know the optimisation gets harder the deeper a network is so you probably won’t go over 3 hidden layers on tabular data (although if you really care about performance on tabular data you would use something that wasn’t a neural network).

But yes, fundamentally, it’s arbitrary. For each dataset a different architecture might work better, and no one has a good strategy for picking it.