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Machine Learning
The quality of the data set is also an important factor in order to determine how much learning you can get out of it. That's a whole other dimension to capture. We just focus on like the easy dimension, which is the size of the size of it. Okay. So that was whistle stop tour of epochs work on compute trends over time. But there were other factors that plug in to these questions about, um, forecasting, but the performance of ML models. Another factor is data, right? This is just like the information with which you train models on. It doesn't matter if you have a supercomputer. If you only have like a couple pages worth of text to train