opML (Optimistic Machine Learning)
By CoinGecko | Updated on Jan 11, 2024
opML, short for Optimistic Machine Learning, is an emerging verifiable method for executing AI model inference on the blockchain. It employs an optimistic verification mechanism, distinguishing itself from traditional machine learning approaches by integrating the principles of decentralized ledger technology for enhanced transparency, fairness, and computational validity.
Related Terms
Block Confirmation
Refers to the number of confirmation a particular block has. Each block ahead of the referenced block adds one block confirmation to it.
Validator
A block-signing participant of a Proof of Stake blockchain network, whom have significant tokens staked on the network.
Smart contracts
Self executing contracts on the blockchain without needing human executors or notary.
Byzantine Fault
A byzantine fault is where an error has occured, yet a computer system does not know due which component/what failed to the lack of information and continues to iterate on a given instruction.
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