The internet as we know it is dead, we just need a few more years to realise it. And I’m afraid that telecommunications will be going the same way, when no-one can trust that anyone is who they say anymore.

I didn’t read super intelligence into it, I read overdoing and I found that it struck home. I don’t know math either, but if I did, I would have done the same calculation.

Ugh… I got to try those buttons the other day. Might work in an intersection. Horrible in a roundabout!!! No wonder nobody use them!

He needs to be sworn in as speaker, first, no?

She is known for giving these people bonuses that surpass anything I’ve heard about outside corpo management, though. The occasion that made the press mention 100k USD for truckdrivers for one tour and while I dont know how much a truck driver makes a year, it’d sure make my life easier for a couple of years.

Not saying she isn’t good at making money, but I’d say the jury is still out on the issue of hoarding all of it for herself.

I’m just in the beginning, but my plan is to use it to evaluate policy docs. There is so much context to keep up with, so any way to load more context into the analysis will be helpful. Learning how to add excel information in the analysis will also be a big step forward.

I will have to check out Mistral:) So far Qwen2.5 14B has been the best at providing analysis of my test scenario. But i guess an even higher parameter model will have its advantages.

Thank you! Very useful. I am, again, surprised how a better way of asking questions affects the answers almost as much as using a better model.

I need to look into flash attention! And if i understand you correctly a larger model of llama3.1 would be better prepared to handle a larger context window than a smaller llama3.1 model?

Thanks! I actually picked up the concept of context window, and from there how to create a modelfile, through one of the links provided earlier and it has made a huge difference. In your experience, would a small model like llama3.2 with a bigger context window be able to provide the same output as a big modem L, like qwen2.5:14b, with a more limited window? The bigger window obviously allow more data to be taken into account, but how does the model size compare?

Thank you for your detailed answer:) it’s 20 years and 2 kids since I last tried my hand at reading code, but I’m doing my best to catch up😊 Context window is a concept I picked up from your links which has provided me much help!

The problem I keep running into with that approach is that only the last page is actually summarised and some of the texts are… Longer.

Do you know of any nifty resources on how to create RAGs using ollama/webui? (Or even fine-tuning?). I’ve tried to set it up, but the documents provided doesn’t seem to be analysed properly.

I’m trying to get the LLM into reading/summarising a certain type of (wordy) files, and it seems the query prompt is limited to about 6k characters.

I never said anyone did, i was just reminded about a joke describing how some actions overshadows other activities when retold among peers.

Which reminds me of that old joke: “but you fuck one coach…”

Edit: just spotted my typo… I’ll leave it in😊

Exactly. His followers expect there to have been an audience and those fictional people should have been crazy about it…

And to make it worse, they are none too concerned with facts to begin with.