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Scaling Deep Learning Models
With deep learning, we've kind of said, hey, let's just throw a bunch of data at a sufficiently large model and it'll figure out patterns that it needs to provide value to us. And i think i'm drawing an analogy to, hey,let's just slurp up the entire web on rain a model and thit's going to result in good things. Ope: We cann come back from just scrapping the web and just filling the models with that there's lactoly a good lessonn in big sands.