by Michele Laurelli
A model's ability to learn from a small number of examples, typically 1-10 examples per class.
Few-shot learning leverages pre-trained knowledge and meta-learning. LLMs demonstrate this through in-context learning with examples in the prompt.
GPT-3 with 5 examples in prompt
One-shot image classification
Meta-learning algorithms