The authors state that scaling up language models greatly improves task-agnostic few-shot performance, in some cases reaching competitiveness with what they call prior state-of-the-art fine-tuning approaches.
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Language Models are Few-Shot Learners → states its contribution → The authors state that scaling up language models greatly improves task-agnostic few-shot performance, in some cases reaching competitiveness with what they call prior state-of-the-art fine-tuning approaches.
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