Definition
In-context learning is adaptation to instructions, examples, or patterns supplied within the active context without changing model parameters.
Distinguish it from nearby terms
Few-shot prompting is a method for eliciting it; fine-tuning changes weights and persists beyond one context.
Check your understanding
Test whether the behavior disappears when the contextual examples are removed.