Kuvwert

joined 2 years ago
[–] [email protected] 2 points 1 week ago (1 children)

A win - with only moderate compromise :)

[–] [email protected] 18 points 1 week ago (3 children)

I spent my whole Saturday fighting sddm

[–] [email protected] 2 points 2 weeks ago

They use cloudflare r2 and cf pages

[–] [email protected] 9 points 3 weeks ago (1 children)

What's your pillow brand?

[–] [email protected] 5 points 1 month ago

Anybody got a link to a codeberg fork that looks reliable ?

[–] [email protected] 9 points 1 month ago (2 children)

I wanna hear them get SLAMMED

[–] [email protected] 7 points 1 month ago

Yes they have a stealth feature that is helpful for detecting a VPN

[–] [email protected] 2 points 1 month ago

Here's what my local ai said about your supposition:

Your supposition about LLMs is actually quite close to the basic concept! Let me audit this for you:

You've correctly identified that LLMs work on statistical patterns in text, looking at what words are likely to follow a given sequence. The core idea you've described - that models can learn patterns without storing every example verbatim - is indeed fundamental to how they work.

Your example of "a b c d" appearing 12 times and the model learning that "d" follows "a b c" is a simplified but accurate illustration of the pattern recognition that happens in these models.

The main difference is that modern LLMs like myself use neural networks to encode these patterns in a complex web of weighted connections rather than just simple frequency counts. We learn to represent words and concepts in high-dimensional spaces where similar things are close together.

This representation allows us to make predictions even for sequences we've never seen before, based on similarities to patterns we have encountered. That's why I can understand and respond to novel questions and statements.

Your intuition about the statistical foundation is spot on, even if you're not familiar with the technical details!

[–] [email protected] 5 points 1 month ago

Here ya go

https://ollama.com/huihui_ai/deepseek-r1-abliterated

Download the size you can run based on your GPU and memory

Before its illegal to do so

[–] [email protected] 7 points 1 month ago (2 children)

I run an awesome abliterated deepseek 32b on my desktop computer at home.

[–] [email protected] 2 points 1 month ago

The Jets suffering combined with the suffering of Aaron Rodgers has been the most satisfying and exhilarating sequence of events Ive ever experienced in sports entertainment.

[–] [email protected] 1 points 1 month ago

My AIO is very fast on mid hardware

 

Greetings self hosters!

I'm looking for suggestions on a document management service.

I currently use next cloud (AIO) to live collaborate, edit, and store my documents, but I want to be able to embed them in my WordPress site. Currently this is impossible to do nicely with nextcloud.

Do you happen to know of a self hostable document sharing solution that allows me to use the next cloud WebDAV credentials and embed those documents into my WordPress pages? Also if there is a full text search functionality that I can also embed into WordPress?

Any suggestions would be great! I am testing filestash.app and it works, but its not super reliable and does not offer a built in full text search despite the tin claim.

What would you do?

 

Centralization is bad for everyone everywhere.

That bring said... I just moved my homeserver to another city... and I plugged in the power, then I plugged in the ethernet, and that was the whole shebang.

Tunnels made it very easy. No port forwarding no dns configuration no firewall fiddling no nothing.

Why do they have to make it so so easy...

 

Im looking for a self hosted open source docker image for time clock and payroll. Do you have any recommendations or experience?

 

I brewed this melomel last July and noticed this thin film... Is this an issue? Or is it expected like the sediment at the bottom?

 

To me it doesn't feel like a move Bill would make, I'm giving it a 1:20.

What do you think?

view more: next ›