It's been reported that as much as 80-90% of machine learning models that are meant to be deployed never get there. Is it more intentional or just a problem with the fragmented nature of the AI industry?
Yea, and I understand researchers may just be training models but don't intend to move into production or deploy once they fine tune them, especially in an education environment or when using them as a basis for a research paper.
