rainerloeten

I use it for explaining stuff when studying for uni and I do it like this: If I don't understand e.g. a definition, I ask an LLM to explain it, read the original definition again and see if it makes sense.

This is an informal approach, but if the definition is sufficiently complex, false answers are unlikely to lead to an understanding. Not impossible ofc, so always be wary.

For context: I'm studying computer science, so lots of math and theoretical computer science.

I've posted to ich_iel and I think it was funny 🫠

Made me think of this YouTube video :) Also check out the comments for more examples.

I only know that I was pleasantly surprised how well GNOME ran on a surface device of a friend.

Why not?

Why is this in c/Lemmy Shitposting?

Once a detector is good, you can train a model to adjust its outputs to cause false negatives from the detector. Then the cycle repeats. It's a cat and mouse game basically.

The only proper way I see is a system that is based ob cryptographic signatures. This ia easier said than done ofc.

It's funny how my brain makes the cat look huge whenever I focus on the CAT logo.

As it probably has internalized the size of things with this logo

I don't.

The cross looks like a "T". That's why, I think.

Open-webui is the best self hosted LLM chat interface IMO. It works seamlessly with Ollama, but also supports other openAI-API compatible APIs AFAIK.

I'm using both in combination with each other and both downloading and using models is super easy. Also integrates well with VSCode extension "Continue", an open source Copilot alternative (setup might require editing the extension's config file).

Explain please. What's the true meaning and what's the intended one?