After five years of work, the team is happy to announce the Zama Confidential Blockchain Protocol and release of our Testnet.
Today, we're taking a decisive step toward the future of confidential blockchain, and it involves our new partners at OpenZeppelin
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The FHE State OS: a blockchain-based and privacy-preserving infrastructure designed for running states and communities onchain.
In this tutorial, Zama team member Andrei Stoian, shows you how to fine-tune LLM models on encrypted data using Concrete ML.
fhEVM v0.6 introduces expanded type support, a more robust input mechanism, and enhanced configurability for fhEVM deployment.
Concrete ML v1.8 improves the speed and usability of LLM hybrid fine-tuning with an optimized FHE backend and a new API.
Concrete v2.9 enhances the interoperability between TFHE-rs and Concrete, and adds support for Python 3.12
TFHE-rs v0.11 brings several major improvements including FHE strings, faster Zero Knowledge Proof, and encrypted arrays on GPU.