Concrete ML v1.5 introduces a new DataFrame API and a new option that speeds up neural networks.
Zama Concrete ML now supports training of Logistic Regression models on encrypted data.
A tutorial on how to code a privacy-preserving version of Shazam using Zama Concrete ML.
This tutorial walks you through one of the latest features of Concrete ML: FHE training.
This new version of Concrete ML introduces a highly anticipated feature by our community: FHE training.
Deploy LLMs on-premise and secure the model IP and the user's privacy using Concrete ML