With the OSI publishing their abysmal - explicitly not open source - “Open Source AI” definition I thought I’d post my argument, why it is bad and why “Open Source AI” currently probably does not exist.
With the OSI publishing their abysmal - explicitly not open source - “Open Source AI” definition I thought I’d post my argument, why it is bad and why “Open Source AI” currently probably does not exist.
Yeah, neural network training is notoriously easy to reproduce /s.
Just few things can affect results: source data, data labels, network structure, training parameters, version of training script, versions of libraries, seed for random number generator, hardware, operating system.
Also, deployment is another can of worms.
Also, even if you have open source script, data and labels, there’s no guarantee you’ll have useful documentation for either of these.