
v0.7.0
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
Privacy and anonymity are two different things. Privacy is about making sure no one can access your data, while anonymity is about making sure no one knows who you are.
Ensu Packs and Your Notes help small models answer better with knowledge stored on your device.
Locker can now scan paper documents into PDFs, without leaving the app
Obscura VPN has joined our friends initiative with exclusive discounts for Ente customers
Library sharing for families, album slideshows, music in Memories, and on-device machine learning that's up to 10x faster.
Ente Photos now processes your photos up to ten times faster. For the first time, our ML runs on the GPU. And everything around the models is now lean Rust.
Share your entire photo library with your family, automatically and end-to-end encrypted.
The fundametal difference between server-side AI and on-device AI, and the trade-off involved.
Faceprints are here to stay. All we can do is decide how they are used.
Every free QR site wanted a sign in, showed me an ad, and hid its own link inside my code. So I built a beautiful one that doesn't.
Leave Me Alone has joined our friends initiative with exclusive discounts for Ente customers
Ente's cast flow now uses a hybrid X25519 + ML-KEM key exchange, the first step in our migration to post-quantum cryptography.
I got back into product design at Ente after a while, and the last few weeks have been a blast.
Starting now, we will be open about our business metrics as well. You can find the numbers that matter @ ente.com/open
We've renamed our GitHub org from ente-io to ente. So now our monorepo has the awesome URL, ente/ente.
I recently created a Paste link with a secret key that I meant to send to my personal chat.
We're back to iterating on Ensu. The latest release brings Gemma 4, on-device voice transcription, and faster image queries.
A visual explanation of how threshold secret sharing lets any k of n shares recover a secret.
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