核心概念
BasedAI introduces Cerberus Squeezing to optimize FHE performance for ZK-LLMs, ensuring data privacy and computational efficiency.
統計
BasedAI는 FHE와 LLM을 통합하여 데이터 프라이버시를 보장합니다.
Cerberus Squeezing은 계산 부담을 줄여 효율성을 향상시킵니다.
引用
"BasedAI proposes a decentralized approach for seamlessly integrating FHE with LLMs to maintain data confidentiality without significant performance trade-offs."
"Cerberus Squeezing represents a targeted refinement for FHE within the realm of LLMs, aiming to enhance data privacy as well as computational efficiency in distributed networks."