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
Circulating Supply
An approximation of the number of coins or tokens that are currently not locked and available for public transactions.
Market capitalization (market cap)
In Crypto, market cap is measured by multiplication of the circulating supply of tokens or currency and its current price
Full Pay-Per-Share (FPPS)
FPPS is quite similar to PPS; the only difference is that the pool will additionally pay a transaction fee incentive if the block is identified. FPPS is the same as PPS+.
Block Reward
One of the mechanisms built into a blockchain to incentivize validators
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