In-Context Learning enables a language model to perform new tasks by following instructions and examples provided within the prompt, without changing the model's underlying parameters.
Voice AI agents use In-Context Learning to adapt conversations, follow business rules, and respond to organization-specific requirements without requiring model retraining. It allows rapid customization through prompt engineering.