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3min chapter
Evaluating models without test data
Practical AI: Machine Learning, Data Science, LLM
Deep Learning - Is There a Problem With Scaling Properties?
We're probably seeing a lot of practitioners running into these kinds of issues overtime. And one of the biggest probms to have is how much data should we add to the model? We have a model, we have data. Acquiring good, high quality, labelled data is very, very expensive. You could easily spend millions of dollars on a data set,. maybe ten million. Would you wold accountwe to infer that were there?
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