From the source
Few-shot learning and demonstrates how to use the GPT-Neo language model from EleutherAI with Hugging Face's Accelerated Inference API to generate predictions with minimal examples.
Few-shot learning in practice: GPT-Neo and the 🤗 Accelerated Inference API
From the source
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 explore how a large language model called GPT-Neo, and the 🤗 Accelerated Inference API, can be used to generate your own predictions.
huggingface.co
