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LocalLLaMA@sh.itjust.worksEnglish · 1 month ago

I built a private Al mini-cluster with Framework Desktop

www.youtube.com

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I built a private Al mini-cluster with Framework Desktop

www.youtube.com

fubarx@lemmy.world to

LocalLLaMA@sh.itjust.worksEnglish · 1 month ago

4

- YouTube

www.youtube.com

Auf YouTube findest du die angesagtesten Videos und Tracks. Außerdem kannst du eigene Inhalte hochladen und mit Freunden oder gleich der ganzen Welt teilen.

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humanspiral@lemmy.ca
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1 month ago
I’m new to this, but some advice seems to be use vulkan to get stuff to work. in your spare time one day, look at rocm.
- heavy@sh.itjust.works
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  I appreciate that! I’m just trying to recap the authors results for people that might be interested in the bottom line.
  
  It seems that the beowulf architecture still has too much overhead

LocalLLaMA@sh.itjust.works

localllama@sh.itjust.works

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Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.

Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.

As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.

Rules:

Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.

Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.

Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they’re still using the same algorithms since <over 10 years ago>.

Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.

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