GPT3 Finetuning for Multilabel Classification

Hi all,
has anyone used GPT3 finetuning for multilabel text classification?

I would highly appreciate to see an example how to structure the completion and learn from best practices.

For clarification:
My ask is not about the common (multiclass) classification use case.
Multilabel means that each instance has 1 or more labels associated.

Thank you

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@akopp Find any good resources here? I’m poking around myself. If I find anything, I’ll post it here as well.

In my case I was able to achieve good results using entity extraction similar to this example: OpenAI API

Not sure if this is generally a good approach for multilabel but in my scenario it worked quite well.