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The Importance of Engineering Complexity in Machine Learning
The second thing I'll say is a lot of AI right now and especially the stuff that gets a light shine on it and in the open because the application layer is so new. One practical piece of advice there is to really focus on an evaluation set for your particular use case. Where language models tend to break down or lap reliability is oftentimes when you're trying to give too much to the model to do at once.