Few-shot learning in practice: GPT-Neo and the 🤗 Accelerated Inference API

Philipp Schmid's avatar

In many Machine Learning applications, the amount of available labeled data is a barrier to producing a high-performing model. The latest developments in NLP show that you can overcome this limitation by providing a few examples at inference time with a large language model – a technique known as Few-Shot Learning. In this blog post, we’ll explain what Few-Shot Learning is, and

 

 

 

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