In-context Learning
An AI model's ability to learn from examples in your prompt without needing retraining.
In Plain English
In-context learning lets an AI model pick up new patterns by looking at examples you give it right in the moment—like showing it a few customer emails labeled 'urgent' or 'routine' and then asking it to sort new ones the same way. It works because large language models have been trained on so much text that they can recognize patterns and adapt on the fly. This is powerful for small businesses because you can customize how an AI behaves without hiring engineers or waiting for formal retraining.
💡Real-World Example
You want a chatbot to answer customer questions in your company's friendly, casual voice. Instead of paying to retrain the AI, you paste three examples of perfect responses at the top of your prompt—the chatbot reads them and uses that style for all its new answers.
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