I found a solution, thank you for helping!

Your solution sets the closest index for all vertices. The ideal solution would be to only change the named attribute for the nearest vertices.

I have an other named attribute and I would like to assign “1” to it for the vertices that are closest to the points.

Your solution is close to what I want

Can’t you remove these applications through the “software manager”? I’m not sure if this will break your system so If I were you I would backup the important files.

Installing or removing kde on linux mint could be difficult for a new linux user.

Try cinnamon, if it laggs or you do not like it try something else.

I did manage to write a back-propogation algorithm, at this point I don’t fully understand the math behind back-propogation. Generally back-propogation algorithms take the activation, calculate the delta(?) with the activation and the target output (only on last layer). I don’t know where tokens come in. From your comment it sounds like it has to do something in a unsupervised learning network. I am also not a professional. Sorry if I didn’t really understand your comment.

I have experience in creating supervised learning networks. (not large language models) I don’t know what tokens are, I assume they are output nodes. In that case I think increasing the output nodes don’t make the Ai a lot more intelligent. You could measure confidence with the output nodes if they are designed accordingly (1 node corresponds to 1 word, confidence can be measured with the output strength). Ai-s are popular because they can overcome unknown circumstances (most of the cases), like when you input a question slightly different way.

I agree with you on that Ai has a problem understanding the meaning of the words. The Ai’s correct answers happened to be correct because the order of the words (output) happened to match with the order of the correct answer’s words. I think “hallucinations” happen when there is no sufficient answers to the given problem, the Ai gives an answer from a few random contexts pieced together in the most likely order. I think you have mostly good understanding on how Ai-s work.