A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps
[article]
2020
arXiv
pre-print
This article provides an overview of the Collective Knowledge technology (CK or cKnowledge). CK attempts to make it easier to reproduce ML&systems research, deploy ML models in production, and adapt them to continuously changing data sets, models, research techniques, software, and hardware. The CK concept is to decompose complex systems and ad-hoc research projects into reusable sub-components with unified APIs, CLI, and JSON meta description. Such components can be connected into portable
arXiv:2006.07161v2
fatcat:tgeldx4wqfeibb3cyswmm6ct44