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Modern ML engineering is 90% knowledge of git
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The famous @ycombinator dropped a very cool article to showcase their 25+ companies who have trained their own AI models, rather than just use someone else's closed model through an API like a black box.
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While llamafile cares deeply about helping the GPU poor, it offers a first-class experience to the 1% too.
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Most of the main features of 🤗 http://huggingface.co are working  with JavaScript disabled 🤯

You can still login or download model files.

A lot of sites just doesn't work without js nowadays.
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The more than 500k models on huggingface provide vast opportunities for creating merged models. 
SakanaAILabs's Evolutionary Model Merge algorithm automatically finds optimal solutions in the space of possible model merges.
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Organizations on huggingface can now set a default Repo visibility.

Your org's Models/datasets can be:
- public by default
- private by default
- private only (only admins can switch them to public)

Better AI governance for your company 🔥🔥
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Very cool to see a bunch of new smaller datasets trending on http://hf.co/datasets! 

All datasets are worth sharing:
- big or small
- in French, in Burmese, in Sanskrit or any language
- in text, image, audio, video, 3d, time-series, multi-modal,... 
- with restrictive or open-licenses

They all contribute to making the field more inclusive, transparent & empower everyone to build AI!
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AI building is becoming more collaborative within organizations! That's why we're super excited to introduce access control & resource groups to manage individual team member access with read and write for models, datasets and apps in private or public mode. 

Enabled by default on Enterprise Hub: https://huggingface.co/enterprise