On-Chain LLMs refer to large language models (LLMs) that are integrated with or directly operated on a blockchain network. This concept involves leveraging decentralized infrastructure for aspects of LLM deployment, execution, or data management. While full execution of complex LLMs directly on-chain faces significant technical hurdles, the idea explores using blockchain for verifiable AI outputs or decentralized model training. It represents a theoretical intersection of AI and blockchain technologies.
Context
On-chain LLMs are a speculative but increasingly discussed area in crypto news, particularly at the intersection of artificial intelligence and decentralized computing. Current discussions primarily address the technical challenges related to computational cost and data storage on-chain. Research initiatives and early-stage projects exploring decentralized AI are often reported, highlighting future possibilities rather than widespread current implementation.
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