I built a local AI movie recommender for Radarr using Ollama

https://lemmy.world/post/44513564

How does this compare to an ML approach?

are you training or just using an LLM for this?

There’s no training, the LLM embeddings are used to compare the plots via a cosine similarity, then a simple weighted score with other data sources is used to rank the candidates. There’s no training, evaluation, or ground-truth, it’s just a simple tool to start using.