What llm did you use, and how long ago was it? Claude sonnet usually writes pretty good python for smaller scripts (a few hundred lines)
What llm did you use, and how long ago was it? Claude sonnet usually writes pretty good python for smaller scripts (a few hundred lines)
Any moment now…
The only issue I see with targeting Linux is the sheer variety of Desktop setups. Finding one keyboard shortcut and payload that will work on even just the majority of distros would be a challenge.
The printing press, of course
Last two are clearly “US dollars” and “printing press”
I still use http a lot for internal stuff running in my own network. There’s no spying there… I hope … And ssl for local network only services is a total pita.
So I really hope browsers won’t adapt https only
But even if you use GoMommy extra super duper triple snake oil security checked ssl cert, if I trick LetsEncrypt to sign a key for that domain I still have a valid cert for your site.
So telegram’s delusional propaganda did something good for once?
I doubt the disk will bottleneck at 40mb/s when doing sequential write. Torrent downloads are usually heavy random writes, which is the worst you can do to a HDD.
I have Samsung’s uwb trackers, and they can show precise location at a distance of roughly 15 meters
Llama3 8b can be run at 6gb vram, and it’s fairly competent. Gemma has a 9b I think, which would also be worth looking into.
That’s like saying car crash is just a fancy word for accident, or cat is just a fancy term for animal.
Hallucination is a technical term for this type of AI, and it’s inherent to how it works at it’s core.
And now I’ll let you get back to your hating.
If they only had a teacher there with a gun, this wouldn’t have been a problem at all
Isn’t there a Geneva convention against inflicting such horror on an enemy?
Better background backups
Rework background backups to be more reliable
Hilarious for a system which main point / feature is photo backup
She’s a witch, get h… Whisper whisper really? Whisper whisper whisper oh, sorry, wrong page. Pulls out new page
She’s an abortion patient, get her!
It’s less the calculations and more about memory bandwidth. To generate a token you need to go through all the model data, and that’s usually many many gigabytes. So the time it takes to read through in memory is usually longer than the compute time. GPUs have gb’s of RAM that’s many times faster than the CPU’s ram, which is the main reason it’s faster for llm’s.
Most tpu’s don’t have much ram, and especially cheap ones.
Reasonable smart… that works preferably be a 70b model, but maybe phi3-14b or llama3 8b could work. They’re rather impressive for their size.
For just the model, if one of the small ones work, you probably need 6+ gb VRAM. If 70b you need roughly 40gb.
And then for the context. Most models are optimized for around 4k to 8k tokens. One word is roughly 3-4 tokens. The VRAM needed for the context varies a bit, but is not trivial. For 4k I’d say right half a gig to a gig of VRAM.
As you go higher context size the VRAM requirement for that start to eclipse the model VRAM cost, and you will need specialized models to handle that big context without going off the rails.
So no, you’re not loading all the notes directly, and you won’t have a smart model.
For your hardware and use case… try phi3-mini with a RAG system as a start.
This is a very simple one, but someone lower down apparently had issue with a script like this:
https://i.imgur.com/wD9XXYt.png
I tested the code, it works. If I was gonna change anything, probably move matplotlib import to after else so it’s only imported when needed to display the image.
I have a lot more complex generations in my history, but all of them have personal or business details, and have much more back and forth. But try it yourself, claude have a free tier. Just try to be clear in the prompt what you want. It might surprise you.