[D] How do we use embeddings given that the meaning of the variables changes?

Hi all - I am starting to work with embeddings. My basic use case is transforming unstructured string data into a set of numbers, which can then be fed into machine learning algorithms.

I understand how the neural net generates these variables, but I'm struggling with how to actually use them, given that every time the embedding is retrained, the meaning of all the variables in the embedding shifts. These are my specific questions:

1. Does a contextual MAB (and …

algorithms basic case data embeddings fed machine machine learning machinelearning machine learning algorithms meaning neural net numbers set string unstructured variables work