Philipp Schmid • 6/5/2021

Few-shot learning in practice with GPT-Neo

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This technical article explains the concept of few-shot learning in machine learning, particularly for NLP. It details how to use the open-source GPT-Neo model from EleutherAI, along with the Hugging Face Accelerated Inference API, to generate predictions with minimal training data, contrasting it with traditional fine-tuning methods.

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#Machine Learning #Natural Language Processing #Language Models
Few-shot learning in practice with GPT-Neo

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