I had to look up embeddings: so this is comparing the encoding of movies as a similarity test?
Which can work because the encoding methods can indicate closeness of meaning.
And that’s why this isn’t running an llm in any way.
Comment on I built a local AI movie recommender for Radarr using Ollama
eager_eagle@lemmy.world 3 weeks agoNo, it doesn’t do that. It gets embeddings from an LLM and uses that to rank candidates.
I had to look up embeddings: so this is comparing the encoding of movies as a similarity test?
Which can work because the encoding methods can indicate closeness of meaning.
And that’s why this isn’t running an llm in any way.
illusionist@lemmy.zip 3 weeks ago
Are you a trollm?
eager_eagle@lemmy.world 3 weeks ago
It’s not, I read the code. It’s not asking the LLM for recommendations, it’s using embeddings to compute scores based on similarities.
prenatal_confusion@feddit.org 2 weeks ago
I love how you actually did something instead of jumping on the generalization train. I hate that about Lemmy right now.