Hugging Face has introduced a new feature that allows users to run privacy-preserving inferences on their endpoints. This is achieved through the use of homomorphic encryption, which enables computations to be performed on encrypted data without decrypting it first. The goal is to protect sensitive information from being accessed during inference tasks. --- Why it matters: This matters because it addresses a key concern for organizations that need to perform AI-driven tasks while maintaining user privacy: how to ensure that sensitive data remains secure even when being processed by third-party services or endpoints. Source: https://huggingface.co/blog/fhe-endpoints