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Explaining AI explainability
Practical AI: Machine Learning, Data Science, LLM
The Importance of Explainability in Deep Learning
The company is trying to surface insights that are most useful to developers. It's a very small minority of them want explainability against data, they say. When we detected a lion being a lion, what we'll be looking at predominantly was when the network got it wrong and different from the human labeler. So that's kind of the data that we surface that we find really accelerates the deep learning development process.
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