Hello,
I am struggling to understand how to relate AI/ML Classification/regression theories relate to the Generative AI. While most topics in Statistical Learning theory talk about classification & regression, how would one go about learning the basic theory on Generative AI?
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Generative AI is more complex than regression/classification but you need to go through and understand them in order progress to generative AI and transformers architecture.
The Deep Learning and Natural Language Processing specialization here explain the transformers architecture, as well as the regression/classification algorithms.
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Regression and classification are the two fundamental tools of machine learning. They allow for predicting a real value, or predicting a classification.
These are the foundations of all advanced AI methods that are based on training from a labeled data set.
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