brainlid
Easy at-home AI with Bumblebee and Fly GPUs
A big barrier to getting started with local AI development is access to hardware. And by “local”, I mean having direct access to a GPU and not going through AI-as-a-Service. Some of us are lucky enough to have a beefy Nvidia GPU, if so, good for you. For the rest of us, we can use a GPU on Fly.io while editing the app on our machine. Sounds crazy? It’s actually really cool, and easy. Check out the ready-to-deploy server app with 3 LLMs setup for your immediate enjoyment.
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A friend and I implemented a few algorithms in Dart and set them up in a repository. Thought I’d share it here.
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Hello,
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API 4
Path:
/user/following/
Method:
GET
Description:
Returns the list of all names of people whom the user follows
Response
[
{ ...
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Phoenix 1.6.0 got released last week, with built-in authentication and mailer generators, a whole new HEEx (HTML-aware Embedded Elixir) e...
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Woooooooo! This is such a huge release for it, and 2 years incoming!
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Author Spotlight
Mike Riley
@mriley
This month, we turn the spotlight on Mike Riley, author of Portable Python Projects. Mike’s book ...
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And one...
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