Overheard a dev say 'your dataset is your god' and it clicked for me
I was at a local meetup in Austin last Tuesday, just listening to some AI talks, and this one guy was going off about how everyone focuses on the model architecture but ignores the data. He said something like 'your dataset is your god, you better worship it.' It really hit me because Ive been spending weeks tweaking hyperparameters on a small project and getting nowhere. Meanwhile my training data was just a messy scrape I threw together. I went home and spent 3 days cleaning up that dataset, removing duplicates, fixing labels, and suddenly my model went from 60% accuracy to almost 85%. Its wild how much the data matters more than the fancy algorithms. Has anyone else had a similar moment where cleaning up data made way more difference than changing the model?