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are llms able to look at a list of categories, read content and then determine which of the categories apply?


This could be achieved by generating embeddings of suitable representations of the categories once, and then embedding the content at runtime, before using some distance metric to find matching categories for the content embedding.


This is a very broad question, but in short, yes, they can do this. It depends on the granularity and overlap of those categories.


Absolutely




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