A way for AI to learn a new task from just a few examples.
Few-shot learning is like peeking at two solved math problems before a quiz. Somehow, you fake the next one well enough to pass.
It helps when labeled examples are rare. The AI learns a new task from just a few samples.
In-Context Learning
Few-shot learning often comes from examples inside the prompt.
Transfer Learning
It builds on general skills learned before.
Fine-tuning
It can also use a small labeled set to tune the model.