Researchers at Hugging Face are exploring ways to encrypt large language models using homomorphic encryption. This approach, known as Fully Homomorphic Encryption (FHE), would allow for computations on encrypted data without decrypting it first. The goal is to enable secure and private processing of sensitive information within the model. FHE has been a topic of interest in the field of cryptography for some time, but applying it to large language models is a new area of research. --- Why it matters: This development matters because it could provide an additional layer of security for sensitive data processed by AI systems, such as user queries or personal information. It would allow organizations to use powerful language models without compromising the confidentiality of their users' data. Source: https://huggingface.co/blog/encrypted-llm