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.
There must be. Recall and info sec is mutually excluding by definition!
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.
And exactly why are they missing? Who stole what at Microsoft?
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 couldnt disagree more with you. If there are pedestrians nearby you drive slow and keep your distance regardless of where you drive.
The same goes for pedestrians, though. Don’t walk where it’s not safe, for everyones safety. Like the interstate. It’s a shared responsibility.
This, however, is in the middle of a neighborhood where a ball and a kid could come flying at moments notice…
For me it’s the opposite. My body may be on the premises, but mentally…
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😊
Well, that’s been the basis for some other products. AMD and Intel comes to mind😊 They both have IP the other need and historically Intel has been the dominant one, but now the tables have turned somewhat.
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.
Oh, welcome to the eu. Speed limits are going down, generally. At least in this nick of the woods, we aren’t driving as fast as in the eighties. The goal is zero Trafic fatalities.
I feel that is the issue with this post to begin with. Is it a shitpost or not? Seems more like a load of hot air to me
Is that a second generation immigrant, married to a first generation immigrant, stealing pets in Ohio?
As I get it, it’s about shifting the perspective from everything is for cars and pedestrians are an after thought to something like everything is for pedestrians except this particular piece of road where cars may drive. From “car first”, to “pedestrian first”.