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Managing Data Labeling Ops for Success with Audrey Smith - #583
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Data Labeling - How Hands on Do Quality Management Need to Be?
How hands on does quality management need to be? I im pretty handson i would say, i think that's where. So it's one of the strengths of the dedaly bilding repression people is that they can be very objective in the way of doing things. And so you have to take the stremet fiks into consideration each time that you starting to data laboring project. That's the only way you can understand fully what you want to do about it. It's obviously the quality of the data, to turn around time, how fast they can deliver. How you get high quality with a fine newtornaon time?
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