Okay, I see. Thanks for the detailed explanation.
Okay, I see. Thanks for the detailed explanation.
OP said they are an experienced VR player, they probably have good motion sickness resistance.
Wouldn’t a rolling distro be enough forma that?
Do they make much difference? Genuine question
Math students in university need to verify basically everything, that’s a lot of what the career is about. I remember being humbled when asked to prove something as familiar to everybody as -1 * -1 = 1
I recently started teaching Dota to a friend that plays a lot of LoL. This video was helpful for him https://www.youtube.com/watch?v=uwRFkDuj5rY
The main thing I like about Jinx is …
Dota 2 is balanced around a lot of variety, you’ll find your cup of tea; all heroes (champions) are completely free to play from the start, you don’t need any commitment into a single one. Note, however, Dota is more focused on strategic gameplay, while LoL is around mechanical skills.
I have heard it works pretty well on Linux?
Yeah. I’ve been playing it in Linux for some 7 years, both on potato laptop and decent PC, it runs pretty well, you won’t have any issue.
DuckDuckGo en passant instead >:3
He unironically did one in this year’s Daytona 500
I find it so odd. It basically doesn’t affect the players giving the negatiea reviews in any way
We don’t know if π+e is irrational.
We don’t know if π*e is irrational.
I glanced over this video and it looks like a very friendly approach to Zermelo-Frankel set theory
https://www.youtube.com/watch?v=IfYP37x6bN4
Note that this is the most common proper formalization of set theory. If this is too advanced for you, you need simpler videos, and I have some confidence that any “Basics of set theory” can be a good start.
Good luck with your journey! :)
I disagree so much with the “But it’s free argument”. Consider the millions YouTube videos with ads to free to play games. Would you consider them to be ad-free videos? And that’s ignoring that Copilot isn’t even free (either pay with data or with a subscription model)
Plus you can always go the pirate way as well. I do for the most expensive games / from companies I dislike / as a trial mode for games I’m interested in buying.
It would work the same way, you would just need to connect with your local model. For example, change the code to find the embeddings with your local model, and store that in Milvus. After that, do the inference calling your local model.
I’ve not used inference with local API, can’t help with that, but for embeddings, I used this model and it worked quite fast, plus was a top2 model in Hugging Face. Leaderboard. Model.
I didn’t do any training, just simple embed+interference.
Nope. Anti-matter comes as a negative energy density solution to Dirac’s equation
Milvus documentation has a nice example: link. After this, you just need to use a persistent Milvus DB, instead of the ephimeral one in the documentation.
Let me know if you have further questions.
OP can also use an embedding model and work with vectorial databases for the RAG.
I use Milvus (vector DB engine; open source, can be self hosted) and OpenAI’s text-embedding-small-3 for the embedding (extreeeemely cheap). There’s also some very good open weights embed modelsln HuggingFace.
Oh, you can interpretate anti-matter as either matter that has negative energy and travels forward in time, or matter with positive energy that travels backwards in time, and both interpretation are valid under Dirac’s equation.
Side note: RustDesk has mobile client as well.
I feel like KDE still mantains responsabilty over packages like this. After being aware of the issue, they should make it not avaiable to users.