4 ms·
This is often the case in almost all ml-augmented workflows. The augmentation begins and ends with people looking at things, because the machine only knows what
by RosanaAnaDana 7y ago
This is often the case in almost all ml-augmented workflows.
The augmentation begins and ends with people looking at things, because the machine only knows what you told it, and doesn't care.
The real work is building systems around people who do the interpretation and labeling to make their jobs easier.
- ska 7y agoYes, very much this. And the importance of workflow impact cannot be overstated. The (clinical) system I mention above, the ML part was a few percent of the total effort, max.