One of the absolute best uses for LLMs is to generate quick summaries for massive data. It is pretty much the only use case where, if the model doesn’t overflow and become incoherent immediately [1], it is extremely useful.

But nooooo, this is luddite.ml saying anything good about AI gets you burnt at the stake

Some of y’all would’ve lit the fire under Jan Hus if you lived in the 15th century

[1] This is more of a concern for local models with smaller parameter counts and running quantized. For premier models it’s not really much of a concern.

That is different. It’s because you’re interacting with token-based models. There has been new research on giving byte level data to LLMs to solve this issue.

The numerical calculation aspect of LLMs and this are different.

It would be best to couple an LLM into a tool-calling system for rudimentary numeral calculations. Right now the only way to do that is to cook up a Python script with HF transformers and a finetuned model, I am not aware of any commercial model doing this. (And this is not what Microshit is doing)

These were Reddit bridges when the exodus happened

Shut the FUCK up when you have no idea what furry/furry identity is

Hating on us harmless lot is just thinly veiled fascist shit, because the same way DEI is code word for N****rs, furry has become the socially acceptable code for anything LGBT

So improve yourself

As a wise man once said, check yoself brfo yp wreck yoself

Oh yeah, serves smug shutlibs of course

I miss it still.

A) What the fuck are billionaires? The bourgeoisie.

B) What facilitates this perversion? The bourgeois system.

Billionaires aren’t the problem they’re the symptoms of disease. Rejection of this fact shows the early stages of your radicalization.

This comment right here is the essence of liberal thought

B…but much process! B…b…but muh decorum!!! Please abide the laws we set while we fuck you in the ass!!!

No honey, fuck you and your procedure. Instead of hiding behind a veneer of professionalism fuck off and fix the issue.

Liberals WILL always silence the downtrodden when they no longer play by their rules.

Inference costs are very, very low. You can run Mistral Small 24B finetunes that are better than GPT-4o and actually quite usable on your own local machine.

As for training costs, Meta’s LLAMA team displace their emissions with environmental programs, which is more green than 99.9% of any company making any product you use

TLDR; don’t use ClosedAI use Mistral or other foss projects

EDIT: I recommend cognitivecomputations Dolphin 3.0 Mistral Small R1 fine tune in particular. I’ve only used it for mathematical workloads in truth, but it has been exceedingly good at my tasks thus far. The training set and the model are both FOSS and uncensored. You’ll need a custom system prompt to activate the Chain of Thought reasoning, and you’ll need a comparatively low temperature to keep the model from creating logic loops for itself (0.1 - 0.4 range should be OK)

Basically? Wartime propaganda

Ukraine has been doing individual, small wins like this and they obviously toot their horn when it happens

But on a large scale, Ukraine has been slowly losing ground