If you use docker, it doesnt matter the distro. And to use docker, you dont really need to understand how/why it works. As long as you can take an example compose file and spin it up (docker compose up) it’ll be less complicated in the long run than managing plex on the host machine (or most software for that matter, which is why containerization is so popular.)
Whats the easiest way to contribute to the simplex communication network? When I run a relay node, how do I notify the network that my instance exists
It seemed nice at first, but one major issue: GPU passthrough was a nightmare. It cant be done in the UI and I didnt understand fully how it worked. There are many different tutorials not by promox that are outdated or may not work. It was frustrating enough I jumped to NixOS. Other hiccups included having to go to the terminal to passthrough drives for openmediavault, but that one was kind of straightforward atleast, and it worked first time.
In hindsight, I didnt actually need to virtualize everything at that level, so I never really had a good use case for it anyway. I use containers over entire VMs.
This guy develops on windows
not sure if this fits your usecase, but nixos-mailserver
I used nixos-mailserver with success, and very little configuration. Most of it was dns, and thr guide walked me through it. You would have to a nixos box somewhere though. I spun one up on my vps for it.
That’s right, “text-generation-webui”. At least its unambiguous lol. Thanks for sharing.
What GPU are you using to run it? And what UI are you using to interface with it? (I know of gpt4all and the generic sounding ui-text-generation program or something)
I think it overinflates the click rate, which means despite having more clicks on an ad, that doesnt mean that more people bought some product. This devalues click rate which might make the ad service less valuble to advertisers, so they dont spend as much on Google’s ad service.
And in general I think makes any training data for a model more muddy, since adnauseum isnt behaving like a human. So it could make it more difficult to train models that do targeted advertising.
What database client do you use? Maybe a plain database is enough with the right client.
Doesn’t need to. That’s a plus though. I think the features I like the most are dropdowns for foreign keys and more specific column types. For instance, a date type gives me a calendar picker, and an image type lets me upload and image and then see it as I browse the data.
Yes everyone would need a client (probably?) but after having recently set it up the first time, its incredibly simple.
You can also use p2p mesh vpn services like zerotier or tailscale to establish a direct connection without opening any port in the router at all.
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Ive been playing with the nixified.ai project, which packages two web interfaces for LLMs and image generation. Im also looking into Tabby.ml for code assistant as well. I haven’t gotten deep, but these all look like promising options for utilitizing a server’s hardware but offering the functionality across the network.
Thanks for sharing this codec wiki. Looks like an incredible project.
Futhark is another language with the same goals, executed differently.
I needed to write in fields of a pdf and ran this quickly only to find out there wasnt such a feature. If I missed something let me know, it looks like great software.
I think a bigger concern is if someone managed to access bitwarden on a logged in instance. Think, leaving your laptop open, or someone steals it from you. If theres two apps for logging then both apps need to be accessible/compromised.
I really think the learning curve will be less than you think. Please consider at least reading the installation instructions. Here’s the page for linuxserver.io’s maintained plex docker container. I’ve linked to the usage section, where you can copy the compose file to deploy it. https://github.com/linuxserver/docker-plex?tab=readme-ov-file#usage