Researchers have developed a method to run large language models using fully homomorphic encryption (FHE), allowing computations on encrypted data without decryption. This breakthrough enables privacy-preserving AI applications where sensitive user data can be processed securely. The approach integrates FHE techniques with existing LLM architectures, paving the way for confidential AI services. AI
RANK_REASON Paper detailing a new method for running LLMs with fully homomorphic encryption.
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