Hi Mike, let me know if I'm getting too into specifics for casual conversation. You mentioned a smaller dataset for training and I'm curious as to how much smaller. Like, for static image recognition, what type of dataset trade off are we looking at. Also, randomly, is there a compute cost trade off or is it just a smarter process?
I read the site, and no one likes cleaning data (no one), and answering questions from a "toddler machine" (for lack of a better term) doesn't sound as bad, but I was curious what potential trade offs there might be.
I read the site, and no one likes cleaning data (no one), and answering questions from a "toddler machine" (for lack of a better term) doesn't sound as bad, but I was curious what potential trade offs there might be.