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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.
for the metadata, LLMs may not prove so great. Use MusicBrainz Picard or Beets
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.
Nextcloud Recognize is supposed to do that, but I haven't tried it. You might try looking down that road.
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.
Can you share some info on how you did that folder organization? Did you provide the AI with a list of files?