Nillion and Meta Collaborate on Privacy-Preserving Large Language Model (LLM) Research

Nillion (NIL), a decentralized blind computing platform, has announced a collaborative research paper with Meta focused on enhancing privacy in Large Language Models (LLMs). The paper, titled "Fission: Distributed Privacy-Preserving Large Language Model Inference," introduces a novel LLM architecture called Fission. This model allows for decentralized inference, meaning computations can be performed across multiple parties without revealing the underlying data or user information. This significantly improves privacy for users interacting with LLMs. This collaboration highlights the growing importance of privacy-preserving technologies in the development and deployment of AI models. By enabling decentralized inference, Fission offers a promising approach to balancing the benefits of LLMs with the need to protect sensitive data. The research suggests a future where users can leverage the power of AI without compromising their personal information. ```