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.
No, it also doesn’t do that. It gets embeddings from an LLM and uses that to rank candidates.
no one is saying everyone has to ask an LLM for movie recommendations
chill, this is extracting text embeddings from a local model, not generating feature-length films
that’s like saying “no jet use is benign” meant for comparing a private jet to a jet-ski
the generative aspect is not even used here
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.
that’s pretty cool, this is just the wrong crowd, don’t worry about the downvotes
“Jonathan”
until you need to update them, or when you need recovery when travelling
Aegis + syncthing for remote backups
idk what to tell you, because I just tried it and it works
ah, this puts it together and it’s exactly what I was looking for, thanks
ah yes, I stopped watching the guy because of that and the clickbait, but he does make some interesting content sometimes.
so you haven’t tried it recently
maybe last you tried it was over 6 months ago, maybe you’re using the old google assistant, or idk, but it definitely works for me
yeah, that’s what I’m looking for. Do you know of a way to integrate ollama with HA?
yeah, I think the whole “water” argument really dilutes the case against data centers.
On a serious note, the argument works for areas that already struggle to supply enough water for consumers. Otherwise, we should be focusing more on the power stress to the grid, and the domino effect on supply chain of hardware cost increases that it’s happening across many industries. It started with GPUs, now it’s CPU, storage, networking equipment, and other components.
If these prices are too high for a couple of years, we’ll start seeing generalized price increases as companies need to pass along the costs to consumers.