  BasedAI is a distributed network of machines which introduces decentralized
infrastructure capable of integrating Fully Homomorphic Encryption (FHE) with
any large language model (LLM) connected to its network. The proposed framework
embeds a default mechanism, called "Cerberus Squeezing", into the mining
process which enables the transformation of a standard LLMs into encrypted
zero-knowledge LLMs, or "ZK-LLMs", leveraging insights from generative
adversarial networks for data privacy. This novel quantization mechanism
empowers BasedAI miners to process and respond to prompts derived from User
interaction with LLMs without the need for decrypting either the queries or
their corresponding responses. The introduction of Cerberus Squeezing
significantly improves performance degradation caused by quantized functions in
current FHE-compliant computing environments by proactively optimizing calls
between users, miners, and validators.
