opML (Optimistic Machine Learning)

L2 / Rollup

opML (Optimistic Machine Learning) is a method that uses a system of checks to ensure that large machine learning models, which can have billions of parameters, are processed efficiently and correctly by verifying the computations made.

Definition
opML (Optimistic Machine Learning) is a method that uses a system of checks to ensure that large machine learning models, which can have billions of parameters, are processed efficiently and correctly by verifying the computations made.