BASEDAI ($BASEDAI)

BasedAI is a distributed network of machines that provides a decentralized architecture for integrating Fully Homomorphic Encryption (FHE) with any large language model (LLM) connected to its network. The proposed system incorporates a default technique known as "Cerberus Squeezing" into the mining process, allowing the transformation of ordinary LLMs into encrypted zero-knowledge applications LLMs, or "ZK-LLMs" exploiting insights from generative adversarial networks for data privacy. This unique quantization approach enables BasedAI miners to process and reply to prompts generated by User interaction with LLMs without the requirement to decode either the queries or the responses. Cerberus Squeezing greatly reduces performance deterioration caused by quantized functions in existing FHE-compliant computing environments by proactively optimizing calls between users, miners, and validators.