Researchers at Stanford and Meta AI have Developed a Dataset Pruning Technique for Scaling Artificial Intelligence AI Training

In machine learning, the test error decreases as the training data used to build the model increases. These laws are called the neural scaling laws. Usually, it is the power law where the test error falls off as a power law with the training data. Because of this, millions of dollars of Investments are made to collect data. The problem with power law scaling is that massive amounts of more data are required to increase the performance only by a …

ai ai training artificial artificial intelligence dataset intelligence machinelearningnews meta meta ai pruning researchers scaling stanford training