Is it worth using LLMs like GPT-3 for text classification?

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  • setfit

    Efficient few-shot learning with Sentence Transformers

  • There's also kinda related approaches like SetFit which calculate embeddings from pretrained transformer models then then fit a classifier on top of the embeddings. I've yet to try it but it supposedly works well with very few labelled examples.

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