21–25 of 25 posts
Earlier quoted context omitted.
How do you know which are the 90% it got wrong and which is the 10% it got right?
We have both AI-assisted and manual inspections in the pipeline. A good analogy would be an assembly line where humans and machines collaborate not only for building things but also for the quality control (ie. vision inspection system + manual inspection)
Earlier quoted context omitted.
We have both AI-assisted and manual inspections in the pipeline. A good analogy would be an assembly line where humans and machines collaborate not only for building things but also for the quality control (ie. vision inspection system + manual inspection)
Do other training data providers use ML/AI to do initial screens?
One of the more interesting startups to come out of W19 in my opinion. How big is your human-in-the-loop piece? Staff size?
Thank you so much! The human-in-the-loop piece really starts to kick in for larger volumes of data where we can iterate the fine-tuning process several times. As an example, we were able to achieve +30% speed boost for a client after a few cycles of the loop. We are a team of 13, including 9 engineers.