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?
Ask HN: Are there good reasons not to deploy Machine Learning models? | Better HN
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.
