• 0 Posts
  • 169 Comments
Joined 1 year ago
cake
Cake day: September 9th, 2023

help-circle


  • pirat@lemmy.worldtoSelfhosted@lemmy.worldLow Cost Mini PCs
    link
    fedilink
    English
    arrow-up
    2
    ·
    edit-2
    3 days ago

    I’m in the same situation as you, more or less… I have three new 22TB drives that need an enclosure, preferably for JBOD (no hardware RAID needed) but I can’t figure out which ones are actually good products… I don’t mind using a random-brand product if it’s actually solid.

    I find it very difficult to figure out which ones will support my 22TB drives. And for some of them, it seems, it’s impossible to add new drives to empty slots later (because of hardware RAID, I guess?), which has made me hesitant in buying one with more slots than I have drives, in case they can’t be utilized later on anyway…

    I was looking at the QNAP TR-004 which was mentioned by someone else somewhere on Lemmy some months ago, but IIRC it would be impossible to use the fourth slot later if the drive isn’t included in the hardware RAID configuration…

    EDIT: I have also been looking into so-called “backplanes” as an alternative, since they seem to do the job and are cheaper, but I’m unsure if I’ll need a PC chassis/case/tower for that to actually work?

    If you find something good (products or relevant info), feel free to share it with me.


  • Altering the prompt will certainly give a different output, though. Ok, maybe “think about this problem for a moment” is a weird prompt; I see how it actually doesn’t make much sense.

    However, including something along the lines of “think through the problem step-by-step” in the prompt really makes a difference, in my experience. The LLM will then, to a higher degree, include sections of “reasoning”, thereby arriving at an output that’s more correct or of higher quality.

    This, to me, seems like a simple precursor to the way a model like the new o1 from OpenAI (partly) works; It “thinks” about the prompt behind the scenes, presenting only the resulting output and a hidden (by default) generated summary of the secret raw “thinking” to the user.

    Of course, it’s unnecessary - maybe even stupid - to include nonsense or smalltalk in LLM prompts (unless it has proven to actually enhance the output you want), but since (some) LLMs happen to be lazy by design, telling them what to do (like reasoning) can definitely make a great difference.











  • Have a look at LibreELEC “just enough OS for Kodi” for the Pi - at least if you plan on using it primarily for running Kodi as a “casting receiver”. (LibreELEC even supports Docker containers as Kodi add-ons too, if you need the Pi to run more than just Kodi.)

    • Kodi will natively play some types of links shared to it through the “Kore” remote app’s “Play on Kodi” in the share menu.
    • Even more types of links are supported with the right add-ons such as YouTube links through Invidious add-on (or YouTube add-on with your own token), local broadcasters’ VoD content, some paid streaming services and many more but it’s a bit hit and miss…
    • With DLNA enabled in Kodi, many more types of stream URLs can be extracted from websites and sent to Kodi with apps like “Web Video Caster”. I think this one has the option of routing the stream through the phone (which is only necessary for some types of streams).

    Depending on your media consumption habits and requirements, it might not be the perfect solution, but possibly prettttty good one for a Raspberry Pi.