

It’s a long shot but I hope they would make it available on Linux.
Depending on how the keybindings work, I think it would be fun to play a class like Aran on the Steam Deck.
Edit: wait a second, Aran wouldn’t be part of Classic World
It’s a long shot but I hope they would make it available on Linux.
Depending on how the keybindings work, I think it would be fun to play a class like Aran on the Steam Deck.
Edit: wait a second, Aran wouldn’t be part of Classic World
Practical applications for LLMs such as?
Translation and voice-to-text (and vice versa) applications to name a couple.
Personally, I have been using LLMs to help me code. They are not perfect, occasionally generating nonsense, and some are downright awful (looking at you, VSCode Copilot). But when they get it right, they saved me so much time.
I know LLMs are associated with tech oligarchs currently, but to dismiss all LLMs as useless impractical is downright unfair.
I was hoping the article would tell us more about the technique he developed.
The model I implemented can be used for other time domain studies in astronomy, and potentially anything else that comes in a temporal format
All I gathered from it is that it is a time-series model.
TLDR: it doesn’t make (or save) money for companies in the short-term.
One of my undergrad professors said that they look as such because I, V and X can be easily marked using axes.
I believe you can hide vote counts.
Perhaps it’s not exactly equivalent since this is an LLM, but from what I’ve learnt in my undergrad machine learning course, shouldn’t the test data be separate from the training data?
The train-test (or train-validate-test) split was one of the first few things we learnt to do.
Otherwise, the model can easily get a 100% accuracy (or whatever relevant metric) simply by regurgitating training data, which looks like the case here.
JUST LIKE EMAIL YOU NITWIT!
We have very different perceptions of how people approach emails.
Guess how tech illiterates(?) approach email? They sign up on Gmail - perhaps with some handholding - and that’s it. That’s all they know or care about.
And before you say they don’t deserve to be on the internet: they are all using Facebook, Youtube, Whatsapp, etc. Unless platforms like Lemmy actually treat new users better, there’s not much incentive for people to switch.
We don’t want to send everyone to the same instance otherwise it’ll end up becoming dominant (see Lemmy World)
Based on what I’ve learnt in network science, I’ve got bad news for you: real-world networks tend to follow power-law distributions.
Lemmy, being a social network, is unlikely to be an exception. Some instances are going to become hubs and the rest would be peripheral.
unique interest or theme will determine the type and feel of content in your local feed
Then selection of interests and themes should be included in the onboarding process, instead of the mumbo-jumbo about choosing instances.
ice gun
Sounds like Portal mechanics
blob monsters
Slimes. Just call them slimes. Pretty much every gamer knows what slimes are.
OpenAI CloseAI
So, fight club but on the internet.
The writer of this article doesn’t consider these words useless though. They are suggesting that these words may improve response quality.