Pio
+528 others
5 years ago
ML training to become as compiling code
"I want to hit “compile” and I want to have it run in the background. When that happens, a data set is generated that is larger than anything that can become collected and annotated today, the model trained and analyzed and basically continuously optimized until it's saturated, in the same amount of time it takes to compile code, and so it is getting a little technical here, but the impact of this is any time you can take an activity that takes on the order of days and weeks and compress it down to seconds, you’re gonna see exponential increase in the quality of the solutions and types of problems we can solve with ML." source: video 
