Im using Ollama on my server with the WebUI. It has no GPU so its not quick to reply but not too slow either.

Im thinking about removing the VM as i just dont use it, are there any good uses or integrations into other apps that might convince me to keep it?

3 points

None

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-2 points

Ollama without a GPU is pretty useless unless you’re using with Apple silicon. I’d just get rid of it until you get a GPU.

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1 point

I have never tested in on Apple silicon but it works fine on my laptop

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1 point

What are your laptop specs?

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1 point

Intel 12th gen i5

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7 points

Works fine on an 11th Gen i5. Not fast but not slow

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3 points

Wanting answers to things you don’t want google to know that you don’t know.

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3 points

There are a huge number of vastly better solutions to get that…

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1 point

Such as…?

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7 points

A privacy respecting search engine.

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1 point

Duckduckgo or SearX

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3 points

IMO LLMs are ok to get a head start of searching. Like got a vague idea of something but don’t know the exact keywords. LLMs can help and use the output on whatever search engine you like. This saves a lots of time tinkering the right keywords.

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0 points

Sure, or you could send an email to the leading international institution on the matter to get a very accurate answer!

Is it the most reasonable course of action? No. Is it more reasonable than waste a gazillion Watt so you can maybe get some better keywords to then paste in a search engine? Yes.

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4 points
*

Roleplay (text adventures), a (stupid but occasionally funny) dungeon master, translation and help with creativity. These are the use cases I found. If you don’t need that, you might get rid of it.

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25 points

Think of LLMs like a stupid office worker. You wouldn’t rely on them to make critical decisions, but they’re valuable for tedious stuff.

For example, my calendar changed the way to enter new events breaking my workflow. Now I just type out a skeletal schedule and have LLM convert that into a .csv that I import.

I’m thinking of Ripping my CD collection again. I’m researching a way to use a LLM to tidy up the metadata.

I had a folder full of random stuff I’ve saved for years. Had a LLM organize and categorize it for me. I had to tweak the prompt enough that this was a medium difficulty task, but still way easier than doing it manually.

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3 points

for the metadata, LLMs may not prove so great. Use MusicBrainz Picard or Beets

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3 points

I’m thinking of Ripping my CD collection again. I’m researching a way to use a LLM to tidy up the metadata.

If you ever figure out how to use AI to determine the genre(s) of a song, let me know. Have been looking for something like that for quite a while.

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3 points

Nextcloud Recognize is supposed to do that, but I haven’t tried it. You might try looking down that road.

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3 points

Thanks for the tip! I took a look and it seems like Recognize uses this: https://github.com/jordipons/musicnn

Last update was 4 years ago but will give it a try this weekend.

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2 points

Can you share some info on how you did that folder organization? Did you provide the AI with a list of files?

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