Just wanted to say that this was a key part of my daily work for years as an ML engineer / data scientist. Use cheap fast good-enough models for 99% of stuff. Use fancy expensive slow accurate models for the disproportionately high value tail.
Just wanted to say that this was a key part of my daily work for years as an ML engineer / data scientist. Use cheap fast good-enough models for 99% of stuff. Use fancy expensive slow accurate models for the disproportionately high value tail.