I built a local AI movie recommender for Radarr using Ollama

https://lemmy.world/post/44513564

Since no one is leaving critical comments that might explain all the downvotes, I’m going to assume they’re reflexively anti-AI, which frankly, is a position that I’m sympathetic to.

But one of the benign useful things I already use AI for, is giving it criterias for shows and asking it to generate lists.

So I think your project is pretty neat and well within the scope of actually useful things that AI models, especially local ones, can provide the users.

Huh? There are other ways to link similarities of movies without the use of a llm. You may use ai to find similar movies but it’s nonsense that everyone has to ask a llm to link movies.
no one is saying everyone has to ask an LLM for movie recommendations

OP wrote a python script that call a llm to ask for a recommendation.

But you are right, op doesn’t say that everyone shall do it

No, it also doesn’t do that. It gets embeddings from an LLM and uses that to rank candidates.
Are you a trollm?

It’s not, I read the code. It’s not merely asking the LLM for recommendations, it’s using embeddings to compute scores based on similarities.

It’s a lot closer to a more traditional natural language processing than to how my dad would use GPT to discuss philosophy.

I love how you actually did something instead of jumping on the generalization train. I hate that about Lemmy right now.