GLOSSARY TERM
What is In-Context Learning?
A model's ability to learn tasks directly from the context provided in the prompt.
In-context learning allows large foundation models to adapt to novel tasks at inference time without gradient updates. By recognizing patterns in the provided examples, the model conditions its output to match the desired format or logic.
Zero-Update Adaptation
Leverage powerful in-context capabilities strictly within secure, private bounds.