Ah thanks for the info.
Ah thanks for the info.
Oh boy, just wanted to get into it. Damn sad, not of course understandable, the developers are only humans as well
Below? Sure it wasn’t the continuation?
I’m rather certain that a good chunk has no clue about any algorithms and just beliefs that their point of view reflects reality
If somebody would ask for a source it would already be a big improvement. Usually you are just classified as idiot if you dare to have a different view.
The down voters and you should maybe reread my comment and the one I replied to… Sorry to burst your bubble.
I don’t know a single who would, including myself.
My cat is now eating his medicine out of my hand, because he knows he will get a treat afterwards. You just need to have something they really crave.
LLM are used particularly to process big amounts of text. I remember my first encounter with it in 2009, somebody giving a talk about observing topics on Twitter, e.g. to track the source of fake news or figure out why some particular topic became viral.
You might already be using it regularly with a translation tool. Yesterday I just saw a foss app called receipt-wrangler, which uses LLM to parse shopping receipts, because a simple scan and ocr would still leave you with a highly unstructured heap of text, which is hard to parse into anything useful.
I’m very happy with my ASRock N100 (either m or DC). It has sufficient performance for my needs (proxmox with opnsense, jellyfin and various other services) while using very little power
I find it increasingly hard to find decent stuff without that.
I really like the idea, but for my purpose an open case is a no-go. It’s for my Homeserver and I have two hyper active cats ;) but I was already thinking to get some kind of skeleton like this and put someone around. Is this applicable for micro ATX Mainboards?
My cats love belly rubs. One sleeps like this most of the time
I read on the poster “make America wrong again”… Sounds appropriate
A beautiful mind or good will hunting,
Arrrrr and ahoi o7
Thank you good sir for the genuine laugh